Freelancer logo
Log In Sign Up
Post a Project

EXPLORE

Academic Writing Data Analysis Data Visualization Research Research Writing
Profile cover photo
User Avatar

Shehwani

@KirtikaKataria

monthly-level-four.svgverified-v2.svgrising-star.svg
5.0
12

4.9

4.9

100%

Data Analyst | SPSS, Python, R, Excel Expert

$15 USD / Hour

・

Flag of

Pakistan (12:30 PM)

・

Joined on September 30, 2024

・

2 Recommendations

$15 USD / Hour

・

Hi, I am Shehwani, expert at turning raw data into actionable insights, meaningful reports, and automated solutions that drive smarter business decisions. With 6+ years of experience in data analysis and automation, I specialize in SPSS (descriptive & inferential analysis, hypothesis testing, correlation, regression), Python & R for data manipulation, analysis, and automation, and Excel (VBA, macros, advanced formulas). I empower businesses to make data-driven decisions efficiently, accurately, and confidently. 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐓𝐨𝐨𝐥𝐬: ◾ Data Analysis: SPSS, Python (pandas, NumPy), R (tidyverse, dplyr, ggplot2) ◾ Automation & Reporting: Excel Expert (VBA, Macros), Python scripts, R programming ◾ Visualization & Dashboards: Excel, Power BI, Tableau ◾ Statistical Expertise: Descriptive & inferential statistics, hypothesis testing, regression, correlation, ANOVA, etc. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫: ◾ Data Cleaning, Wrangling & Transformation ◾ Statistical Analysis & Hypothesis Testing (SPSS, R, Python) ◾ Regression, Correlation, and Predictive Analytics ◾ Excel Automation: VBA, Macros, Advanced Formulas ◾ Custom Dashboards & Interactive Reports 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞: 🧠 Proven expertise in SPSS, Python, R & Excel 📊 Skilled in delivering accurate, actionable insights ⚙️ Automation of repetitive tasks to save time & reduce errors 🤝 Client-focused approach with 100% satisfaction 📞 Connect today, and let’s unlock the power of your data! Best Regards, Shehwani

Verifications

On time

100%

On budget

100%

Accept rate

84%

Repeat hire rate

9%

Freelancer Data Analysts Pakistan
See all Data Analysts in Pakistan

Portfolio

Portfolio

13754908
I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

13754911
I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

13754916
I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

13754913
I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

13766089
I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

13766091
I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

13754908
I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

13754911
I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

13754916
I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

13754913
I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

13766089
I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

13766091
I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

5.0 · 12 Reviews
Reviews
E
Flag of

Emma G.

5.0

£250 GBP

27 minutes ago

Service-Based Startup Business Plan

Shehwani kept me up to date with what was happening with my project on an ongoing basis. I was provided with drafts to check and had the opportunity to make changes if this was necessary. Shehwani is very professional and a dream to work with. I would not hesitate to work with her again.

Business Plans
Finance
Business Analysis
Market Research
Financial Analysis

+3 more

Share

R
Flag of

Richard L.

5.0

$300 CAD

16 days ago

Ottawa Property Management Pricing Research

Not only did she deliver a quality product on time she was also helpful helping me navigate this system since it was my first time using it. She was professional, courteous and patient. I would not hestitate to use her services again

Research
Marketing
Business Analysis
Market Research
Real Estate

+3 more

Share

B
Flag of

S A.

5.0

$350 USD

20 days ago

Defended Business Development Plan

Always fulfills the job requirements and respects time. Clear communications and always provides insightful guidelines for better outcomes. Thanks

Research
Research Writing
Academic Writing
Data Visualization

+1 more

Share

J
Flag of

Joey J.

5.0

£270 GBP

22 days ago

Betfair Horse Racing Market Data

Great experience working together. Kritika delivered high-quality data work with strong accuracy and attention to detail. She handled Python-based data cleaning and extraction efficiently and was very professional throughout the project. Communication was smooth, and she was quick to resolve any issues or adjustments. Overall, very satisfied with the results and would recommend her for similar data projects.

Python
Web Scraping
Data Mining
Geospatial
Data Analysis

+3 more

Share

J
Flag of

Joe M.

5.0

$130 USD

1 month ago

Electrical Layout Excel Spreadsheet

Shehwani was wonderful to work with, a great professional with excellent communication skills.

Project Management
Data Entry
Engineering
Electronics
Excel

+5 more

Share

Education

MS in Data Science from SZABIST University

2020 - 2022

•

2 years

Flag of

Pakistan

2020 - 2022

•

2 years

Karachi University

2015 - 2019

•

4 years

Bachelor of Science (B.S.) in Statistics

Flag of

Pakistan

2015 - 2019

•

4 years

Certifications

Freelancer Orientation

Freelancer Orientation

Freelancer logo US (International) / English
Help & Support

Freelancer

Categories Projects Contests Freelancers Enterprise Innovation Challenges AI Development Membership Preferred Freelancer Program Project Management Local Jobs Photo Anywhere Showcase API for Developers Get Verified

About

About us How it Works Security Investor Sitemap Stories News Team Awards Press Releases Careers

Terms

Privacy Policy Terms and Conditions Copyright Policy Code of Conduct Fees and Charges

Partners

Escrow.com Loadshift Warrior Forum

Apps

Apple App Store logoGoogle Play logo

Registered Users

Total Jobs Posted

Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)

Copyright © 2026 Freelancer Technology Pty Limited (ACN 142 189 759)