Basic Python Data Analysis

@eldadshericks

Hello there, I am a Data Analyst by practice, and by using Python, I can help you discover facts from your data pool. I have the expertise to perform data analysis and visualizations utilizing various libraries and techniques to extract insights from the data. My analysis will include data cleaning, preprocessing, exploratory data analysis, and statistical analysis. The final output is visually appealing and insightful visualizations that effectively communicate the underlying patterns and trends within your data. Please get in touch so we can proceed with the project.

@KolmanOuassou

Hi, I am a data analyst/statistician and Economist with more than 6 years of experience. I can do your project, Please take time to check my profile and then you decide to contact me.

@Hrolgar

What questions do you need the data to answer? That shapes everything, whether we're doing descriptive summaries, comparisons across groups, or something more predictive. For a structured dataset like this I'd work in Jupyter: pandas for cleaning and transforms, NumPy where the math needs it, matplotlib/seaborn for the charts. Everything reproducible and commented so you can re-run it yourself if the data changes. INR 1500, delivered in 3 days. Share a sample and tell me what you need the analysis to surface. Output format (notebook, PDF, slides) is easy to lock in once scope is clear.

@shahdelshoraky9

Hello, I am writing to express my strong interest in your data analysis project. As a Data Analyst with a background in Professional Accounting, I have the technical proficiency and the analytical mindset required to clean, process, and extract meaningful insights from your structured data. Relevant Work Examples: Developed a dynamic web scraper using Python and Selenium to extract and structure location data into organized formats. Executed a comprehensive Bank Loan Analysis project, where I handled large datasets to visualize critical financial KPIs and trends. Consistently design automated dashboards and reports that improve data accuracy and accessibility. I am committed to delivering clean, well-documented code and accurate statistical analysis within your timeline. I would welcome the opportunity to discuss your specific data needs in more detail. Best regards

@automivex

With Automivex, you won't just be getting a Python coder, but a global software solutions company with an unparalleled track record in providing intelligent solutions through AI and Machine Learning, among other areas. With our proficiency in Python and experience with data analysis libraries such as Pandas, NumPy, and Matplotlib, we are perfectly poised to handle the key tasks of your project: data cleaning and preprocessing, data visualization, and statistical analysis. Throughout our history, we have worked extensively with structured data formats like CSV and SQL. This experience strengthens our ability to precisely handle your data to uncover hidden patterns and deliver quality results. When it comes to analyzing and manipulating data for better insights, we not only have the required technical skills but also practical business insights that combine for effective decision making. Our services aren't limited to mere coding; rather, we deliver high-quality software solutions that are scalable, secure, maintainable, and most importantly - focused on driving real results. With a commitment to clear communication, timely delivery, and unwavering client satisfaction at the core of our operations; choosing Automivex is choosing a partner dedicated to helping you achieve your goals.

@PetrusLubbe

‼️ONLY PAY WHEN YOU'RE 100% HAPPY‼️ I see your focus is on clean, structured data handling, where efficient preprocessing and clear visual insights truly drive informed decisions. My approach involves meticulous data cleaning using Pandas, streamlined SQL querying for robust data extraction, followed by impactful visualizations with Matplotlib to highlight key trends. While I’m new to Freelancer, I’ve done similar projects off-platform, delivering accurate statistical analyses and actionable visual reports for data-driven strategies. Let’s chat! Worst case, you get a free consultation and real insight. Regards Pietie Lubbe.

@habibaa032

Proposal Hi, I’m very interested in your Python Data Analysis project. I have good experience in data cleaning, preprocessing, visualization, and statistical analysis using Python. I’m comfortable working with structured data in CSV and SQL formats. What I can do for you: Clean and preprocess the data (handling missing values, outliers, data types, etc.) Perform exploratory data analysis (EDA) Create clear and professional data visualizations using Matplotlib and Seaborn Conduct statistical analysis and generate insights Deliver clean, well-documented Python code My Technical Skills: Python (Pandas, NumPy, Matplotlib, Seaborn) Data cleaning & preprocessing Data visualization Basic statistical analysis I can start immediately and deliver high-quality work with clear code and explanations. Please share the sample dataset or more details so I can show you how I would approach it. Looking forward to working with you on this project. Best regards, Habiba Adel Python Data Analyst

@Adits70

Hi, I can help you efficiently handle your data analysis tasks using Python with a clean and structured approach. ? Skills & Tools - Python with Pandas, NumPy, and Matplotlib - Experience working with CSV files and SQL databases - Strong focus on clean preprocessing and accurate analysis ? What I’ll Do - Data cleaning (handling missing values, outliers, formatting) - Data preprocessing and transformation for analysis - Statistical analysis (descriptive stats, correlations, trends) - Clear and insightful visualizations (charts, graphs) - SQL querying for structured datasets ? Relevant Experience - Built analysis pipelines for structured datasets (CSV + SQL) - Performed end-to-end workflows: cleaning → analysis → visualization - Created dashboards and plots to highlight key insights ? Deliverables - Clean, well-commented Python scripts or notebooks - Visualizations and summary insights - Reproducible workflow I focus on clarity, accuracy, and delivering results quickly. Happy to start right away. Best regards, Adit

@SantiagoJoaquin7

Hello. I have reviewed your project and can help you with data analysis tasks in Python in a clear and efficient way. I have experience working with structured data (CSV and SQL), performing data cleaning, transformation, and analysis using libraries such as Pandas. I can also create clear visualizations to support data interpretation and assist with statistical analysis as needed. I work in an organized manner, focusing on code clarity and the quality of results. I am available to start immediately.

@ahmedihab11

Hello, I can help you clean, analyze, and visualize your data efficiently. I have strong experience working with structured data like CSV and Excel, including: - Data cleaning and preprocessing - Creating clear visualizations - Extracting useful insights I can also support Python-based analysis if needed and ensure accurate results. I have worked on 100+ Excel sheets and similar data tasks, and I focus on delivering clean and well-organized outputs. Let’s discuss your dataset and get started. Best regards, Ahmed

@joeln53

Hello, I can help you with your data analysis tasks. I have strong experience with Python, including: - Data cleaning and preprocessing using Pandas - Working with CSV and SQL data - Data visualization using Matplotlib - Basic statistical analysis I can quickly process your data, clean it, and provide clear insights with visualizations. I am ready to start immediately and deliver accurate results. If needed, I can also share examples of similar work. Best reg

@MeToo98

Hi,I saw your project and it’s a perfect match for my toolkit. I specialize in transforming messy, structured data into clear, actionable insights using Python. Whether your data is currently tucked away in SQL databases or spread across CSVs, I can help you clean it, analyze it, and visualize it effectively. What I Bring to Your Project: 1-Data Cleaning & Preprocessing: I use Pandas and NumPy to handle missing values, outliers, and formatting inconsistencies, ensuring your analysis is built on a solid foundation. 2-Database Management: I am highly proficient in SQL (Joins, Aggregations, CTEs) and can seamlessly pull and push data between your databases and Python scripts. 3-Insightful Visualization: I don't just make "graphs"—I create clear, professional visualizations using Matplotlib and Seaborn that tell the story behind the numbers. 4-Statistical Rigor: From descriptive statistics to hypothesis testing, I ensure your data findings are mathematically sound. I invite you to check out my Portfolio projects to see the quality of my charts and the cleanliness of my code. If my style aligns with your needs, I’m available to start on your data immediately.

@appireddyj

Hi, Python + Pandas + SQL — that's exactly my stack. I've done this kind of work before: my Cab Fare Prediction project involved full CSV data cleaning, feature engineering, statistical analysis, and Matplotlib visualizations on structured data. What I'll deliver for your project: ✓ Clean, preprocessed dataset ✓ Visual charts (histograms, heatmaps, scatter plots) ✓ Statistical summary with key insights ✓ Well-commented Python code you can reuse Delivery: within 5 days. Happy to share code samples or discuss your data before you award. Jagadeeswar

@Smarty613

Hi, Python data analysis (Pandas, NumPy, Matplotlib) is my bread and butter. For your structured CSV/SQL data I can handle: - Data cleaning & preprocessing (handle nulls, types, outliers) - Statistical analysis (distributions, correlations, summaries) - Clear visualizations using Matplotlib or Seaborn - Clean, commented Python scripts you can reuse I've worked on similar data pipelines and can deliver production-quality, well-documented code. Happy to share a relevant example. Could you tell me roughly how many rows/columns your dataset has, and what kind of insights you're looking for? That will help me scope the work precisely. Ready to start right away. — Jacques A.

@aman241224

Hello, I’m currently pursuing an MBA in Business Analytics, where I specialize in data cleaning, structured data handling (CSV/SQL), statistical analysis, and visualization using Python libraries such as Pandas, NumPy, and Matplotlib. This project closely matches the type of analytical work I regularly perform as part of my academic training and applied coursework. I have hands-on experience with: • Data preprocessing and transformation of structured datasets • Exploratory data analysis and statistical interpretation • Creating clear and meaningful visualizations for insights • Working with CSV files and SQL-based datasets Recently, I have worked on multiple analytics-focused assignments and projects involving real-world datasets, where I built end-to-end workflows from cleaning to insight generation. I can deliver accurate, well-documented, and efficient analysis tailored to your requirements. I would be happy to discuss your dataset and expected outputs to get started immediately. Looking forward to working with you.

@Atul0721

Hello, After analyzing your specifications, since the nature of your data set is structured (CSV/SQL), the most important thing will be proper data preprocessing before analysis. This is what I am going to do with your data set: 1. Data cleaning/preprocessing 2. Analysis 3. Visualization 4. Providing Python scripts I am familiar with the Pandas and NumPy packages in Python, as well as Matplotlib. My goal is always to provide clear Python code that is easily readable. I will be able to complete this project in 1 days maximum. Feel free to ask me about anything else. Looking forward to working with you. Thank you.

@oimrqs

Hi, I can handle this as a focused 1-day Python data-analysis pass. I work with structured CSV/SQL-style exports, Pandas, NumPy, Matplotlib, cleaning, simple statistics, and compact visuals. My bid is intentionally low because I am building early Freelancer reviews on this profile. For this price I would deliver a clean first version: cleaned/preprocessed data, a reproducible Python script or notebook, basic charts/statistics, and a short handoff explaining what I changed and how to rerun it. Send a sample file/schema and the output format you want, and I can start fast.

@huzaifaa177

Based on your requirements, I can efficiently handle structured data analysis using Python with a focus on clean preprocessing, accurate statistical insights, and clear visualizations. I will work with CSV and SQL sources to clean and normalize the data, handle missing or inconsistent values, and prepare it for analysis using Pandas and NumPy. The goal is to ensure your dataset is reliable and ready for meaningful interpretation. For analysis and visualization, I will generate insightful charts using Matplotlib and perform statistical evaluations tailored to your use case. The code will be well-structured and reusable, making it easy to maintain or extend. If needed, I can also provide brief documentation or notebooks so you can understand and reuse the workflow.

@Princeik25

Hi, I can handle all three tasks — data cleaning, visualization, and statistical analysis — using Python, Pandas, NumPy, and Matplotlib. I work with CSV and SQL-structured data regularly as part of my core analyst work. Quick proof of relevant experience: Cleaned and restructured financial purchase data across multiple sheets using Python/Pandas — handling malformed records, date errors, and exact target totals Built an interactive dashboard from a 5,000-row CSV dataset with 13 charts and KPI cards Delivered fuel sales analysis (PMS & AGO) covering price trends, revenue breakdown, and cost drivers for an energy company I produce clean, well-commented code and present results in plain business language — not just raw output. I'm available to start immediately and happy to do a small sample task so you can assess my work before committing. Looking forward to working with you. Albert Better