Python Data Cleaning & Analysis

@Vasilchenko

Hello. I can do all that you need using Excel, Python and PowerBI. If you project is small then price can be smaller if large then higher. , Here the approximate price and time estimation from me. Let initiate the discussion and do this work.

@farhanyoussef18

Youssef, Full-Time Freelancer with Python Programming expertise, I'm excited about your Python Data Cleaning & Analysis project. I understand you have raw Excel/CSV files needing thorough clean-up and analysis to derive meaningful sales trends. My expertise lies in precisely this: leveraging Python and Pandas to meticulously load, clean, and transform your sales data. I'll handle duplicates, missing values, and standardize formats, ensuring a single, reliable master dataset. After tidying the data, I will conduct a comprehensive descriptive analysis to identify patterns like revenue over time, best-selling items, and regional performance. I can then present these valuable insights and actionable recommendations within an Excel workbook featuring pivot tables and charts, or a Power BI dashboard, whichever suits your needs best. I have significant experience with similar data analysis projects.

@shivansh121

Hi, I am interested to work on this Data cleaning task. I have good working experience with Python, Data scraping,cleaning,Django,Machine Learning. Message me here. Looking forward to an early and positive response. Regards, Shalu

@saba106

I am an expert statistician, Research Writer, and data analyst with more than eight years of experience. I have full command of Excel analysis, SPSS, STATA, R LANGUAGE, AND PYTHON. I am an expert in creating time series prediction models, working with survey data, conducting marketing analysis, building estimators, and medical analysis. I am a perfect match for your project share other details of the work so I can start working on your project. Will complete task on time.

@mohjib092

Hi, I can clean and consolidate your Excel/CSV sales files using Python and Pandas, removing duplicates, handling missing values, and standardising columns. I’ll then analyse trends—revenue, top-selling items, average orders, regional performance—and deliver a clean dataset, Python script, and a clear report with charts in Excel or Power BI. I have strong experience with sales data analysis in Python and can start immediately.

@HanyasSalem

Hi there, With my extensive experience as a physician and biostatistical analyst, I have the precise skills you need for your project. I am well-versed in data analysis using R and Python. In particular, I have worked with similar projects where data cleaning, and analysis was paramount. In your case, my fluency in Python's Pandas package will enable me to transform your raw Excel and CSV files into a single reliable dataset of high quality. Furthermore, the descriptive analysis you require such as revenue patterns over time, bestselling items, regional performance to mention just a few are well within my expertise. Drawing from my background in writing research papers, I also have a knack for delivering concise and clear reports that presents actionable insights. This includes summarizing key statistics and creating visualizations that highlight important trends. Thus, entrusting me with your data would guarantee a meticulous clean-up, meaningful analysis and an actionable report that fits your needs best!

@khaliduom103

Hi I am an experienced data analyst in python and Matlab.I can clean your all data in python with accurate results and then can make insites of it.

@AliGhazanfar2

Hi, Lets get connect over a chat. I have more than 9 years of experience in building custom platforms in python. I will walk through to my work samples as well. I am online right now. Thanks Ali

@muratalper99

I have a PhD in statistics. I can fix Excel files and handle missing values, either substituted ör eliminatrd. Then I run pandas to generate descriptive statistics and pinpoint trends.

@AhmadXpert2410

Hi there, I can handle this end-to-end using Python and Pandas, with a strong focus on clean, reproducible analysis. I’ll start by loading all Excel/CSV files, removing duplicates, handling missing values logically, and standardising column names and data types to produce a single, reliable master dataset that’s ready for reporting. All steps will be clearly documented so the process is easy to rerun or audit later. Once the data is tidy, I’ll perform descriptive sales analysis to uncover trends such as revenue over time, best-selling products, average order value, and regional performance, along with any additional patterns worth flagging. I focus on insights that are practical and decision-ready, not just numbers. For delivery, I can package the results as a polished Excel workbook (clean data, pivot tables, charts, and recommendations) or a Power BI dashboard if you prefer a more interactive format. You’ll also receive the full Python script or notebook used in the process. I’ve worked on similar Python-driven sales and business analytics projects and prioritize accuracy, clarity, and on-time delivery. Happy to discuss your data structure and reporting preference.

@Bwatter

Hello, I hope you're doing well. After carefully reviewing your requirements, I'm confident in my ability to meet them with the utmost accuracy in the shortest time possible as I have worked on similar projects. I have worked on similar projects as an expert where I delivered 100% quality. Chat me up as I'm available 24 hours daily via the freelancer.com app; let's discuss your project in detail and get started right away. Thank you.

@Shrutibimpl

Hello, I will clean, consolidate, and analyze your raw Excel/CSV sales data using Python and Pandas. The initial process will involve loading the files, removing duplicates, intelligently handling all missing values, and standardizing column names and data types to create a single, reliable master dataset. I will then perform a thorough descriptive analysis to surface meaningful sales trends, including revenue patterns, best-selling items, average order values, and regional performance. The final findings will be delivered in a clear, concise report, which can be presented as an Excel workbook (with pivot tables and charts) or a ready-to-share Power BI dashboard. 1) What is the highest approximate total number of rows across all the raw Excel/CSV files? 2) What is the main column or field that should be used as the primary key for detecting duplicate records? 3) Which final reporting format do you prefer for the findings: Excel workbook or Power BI dashboard? Thanks, Bharat

@kend27

Hello, I can help you turn your raw Excel/CSV sales files into a clean, reliable master dataset and extract clear, actionable insights from it using Python and Pandas. My approach is straightforward and reproducible: load and standardise all files, remove duplicates, handle missing values, enforce consistent column names and data types, and document each step so the process is easy to maintain or rerun. Once the data is tidy, I’ll run a descriptive analysis covering revenue trends over time, best-selling products, average order value, and regional performance, plus any additional patterns that stand out. I’ll deliver the cleaned dataset, a well-documented Python script or notebook, and a concise report with charts and recommendations—either as an Excel workbook with pivots and visuals or a Power BI dashboard, depending on your preference. I’ve worked extensively with Python, Pandas, and real-world sales data, and I focus on producing results that are both technically solid and easy for stakeholders to understand. Happy to discuss your files, timeline, and preferred reporting format. Best regards, Ken

@h0ssam1

Hi We are a team of two i am a python developer specialize in automating and web scraping and my partner is a data analysis and excel specialist. I will handle the data cleaning using python and pandas then my partner will handle the pivot table and report generation. I would appreciate the opportunity to talk in more detail with you. Best regards

@hr157

Hello, I can help you turn your raw sales files into a clean, reliable dataset and extract clear, actionable insights using Python and Pandas. My approach would be: 1. Data Cleaning & Standardisation Load all Excel/CSV files with Pandas Remove duplicates and reconcile overlapping records Handle missing values logically (drop, impute, or flag—depending on business impact) Standardise column names, formats, and data types (dates, currency, categories) Merge everything into a single, well-structured master dataset Document every assumption and transformation clearly 2. Descriptive Sales Analysis Revenue and order trends over time (daily / monthly / seasonal patterns) Best-selling products and product categories Average order value and customer behaviour signals Regional or channel-based performance (if available) Any anomalies or growth opportunities surfaced from the data 3. Reporting & Delivery Reproducible Python script or notebook so you can rerun or extend the analysis Clean final dataset (CSV or Excel) ready for reporting Either: An Excel workbook with pivot tables, charts, and summaries, or A clean Power BI dashboard with key KPIs and visuals Clear, action-oriented recommendations based on the findings I focus on accuracy, transparency, and business relevance—not just charts. If you share a sample file or column structure, I can confirm timelines and the best reporting format for your needs right away.

@Sahyadri96

Expert in Python, Advanced Excel and Data analysis Completed Projects: 1. Hotel Booking Management & Tracking System (Excel + VBA Script) 2. Appsheet: ERP system for textile business 3. MNGL Gas Incident Tracker & Dashboard (Google Sheets + Google Data Studio) 4. Daily Expenses Tracker (Google Sheets) 5. Option Scalping Strategy Automation (Excel VBA) 6. Nifty50 Live Option Chain Dashboard (Google Sheets) 7. Binary Trading Sheet (Google Sheets) 8. Customer Data Cleaning & Sorting Tool (Excel VBA & Python) 9. Historical Stock Closing Price Analysis for 2,600 Stocks (Excel & Python) 10. Power Bi dashboard for F1 Car racing insights 11. GOLD Loan tracking in Google sheet and Google Data studio 12. Local Taxi Tracking System (Google Sheets + Google Data Studio) 13. Appsheet Milk Drivers wages and attendance system (Appsheet + Google sheet ) Key Highlights: 1. Pay only if satisfied with the work 2. Expert in Power BI, Excel, VBA Macros, Google Sheets, Google Apps Script, and Python 3. Experience in 3 American MNCs 4. Skilled in Data Analytics, Automation, and Visualization 5. Proficient in Statistical Analysis 6. Offer Long-Term Support for all projects 7. Quick Delivery with multiple revisions I can deliver any project related to Data Analytics, Automation, and Reporting with precision and reliability.

@Linkmez

Hi there, I am a Senior Data Engineer specializing in Python and Pandas. I read your requirement for cleaning raw sales data and visualizing trends, and this falls exactly within my core expertise. My Approach: 1. Data Cleaning (Python/Pandas): I will write a reproducible script to handle duplicates, impute missing values, and standardize schemas across all your CSV/Excel files into a single "Source of Truth" dataset. 2. Analysis: I will generate descriptive statistics to identify revenue patterns, regional performance, and top-selling items. 3. Reporting (Power BI): I recommend delivering the final insights via an interactive Power BI dashboard (preferred over static Excel) so you can slice the data dynamically. Why Me? I have automated similar ETL and reporting pipelines for e-commerce sales data, transforming messy logs into clean, decision-ready reports. I focus on clean, documented code that you can run again in the future. Deliverables: - Cleaned Master Dataset (CSV/XLSX) - Python Script/Notebook (fully commented) - Power BI Dashboard with actionable insights Timeline: I can complete the cleaning and initial analysis within 3 days. Best regards,

@haitham1996

Hello I can deliver your task within 1 day ,I'm Full-Stack Web & AI Developer specialized in building scalable applications and intelligent automation workflows. With over I3 years of experience delivering robust solutions for major clients like Vodafone and ATOS, I combine expertise in Java/Django with the power of Low-Code platforms and N8N. I am dedicated to delivering efficient, results-driven code that optimizes business processes and solves complex technical challenges

@HASEEB1803

I’m a Data Analyst & AI Engineer with strong experience in Python (Pandas, NumPy), Advanced Excel, and Power BI, specializing in cleaning messy datasets and turning them into reliable, insight-ready reports. I’ve worked extensively on Python-based data cleaning, EDA, and dashboarding, which directly aligns with your requirement to consolidate multiple sales Excel/CSV files into a single, trustworthy master dataset. Relevant Experience: ✔ Sales Performance Dashboard (Power BI) revenue trends, product KPIs, regional analysis ✔ Employee Analytics Dashboard (Power BI) workforce metrics and performance insights ✔ KraveMart Retail Dashboard (Power BI) sales, customers, and product-level analysis ✔ Excelerate Data Visualization Internship: EDA, dashboards, and presentations for leadership ✔ Fish Yield Data Analysis (Python & Excel) missing values, outliers, trend analysis ✔ Weather, Pollution & Traffic Analysis (Python) multi-source data cleaning and reporting ✔ IntelliHire (AI Analytics Platform) Python pipelines, structured metrics, reproducible analysis Deliverables ✔ Cleaned master dataset (CSV/XLSX) ✔ Reproducible Python script/notebook ✔ Summary statistics & visuals ✔ Action-oriented Excel or Power BI report I focus on accuracy, reproducibility, and business-ready insights. If you want, I can share some samples of my previous projects as well Best regards, Haseeb