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Fiverr Pro
English
$
USD
I will perform python data analysis, eda and data visualization


Harshwardhan
About this gig
Unlock valuable insights from your data with professional Exploratory Data Analysis (EDA) using Python!
I help businesses, researchers, and individuals transform raw datasets into clear, actionable insights through data cleaning, statistical analysis, and compelling visualizations. Whether you're preparing data for machine learning or making business decisions, I'll deliver a comprehensive analysis tailored to your needs.
What You'll Get:
- Data Cleaning & Preprocessing
- Missing Value & Duplicate Handling
- Summary Statistics & Data Profiling
- Correlation & Feature Analysis
- Outlier Detection
- Charts & Visualizations (Matplotlib)
- Trend & Pattern Identification
- Business Insights & Recommendations
- Well-Documented Jupyter Notebook
Tools I Use:
Python Pandas NumPy Matplotlib Jupyter Notebook Excel CSV SQL
Why Choose Me?
- Clean, organized, and reproducible code
- Easy-to-understand visual reports
- Accurate insights for better decision-making
- Fast communication and on-time delivery
- Customized analysis for your project
Please contact me before placing an order so we can discuss your dataset and choose the best solution for your requirements.
Let's turn your raw data into meaningful insights!
Get to know Harshwardhan
Harshwardhan
Trying To Do Better!!
- FromIndia
- Member sinceAug 2025
- Avg. response time1 hour
Languages
Hindi, Marathi, English
Hello! I am a Data Analyst specializing in Power BI, SQL, Python, Excel, and Data Visualization. I help businesses transform raw data into meaningful insights through interactive dashboards, reports, and analytics solutions. My experience includes sales analysis, e-commerce analytics, customer behavior analysis, and business intelligence reporting. I focus on data cleaning, KPI tracking, dashboard development, and actionable insights. I am committed to delivering accurate, high-quality work on time while maintaining clear communication throughout every project.

