Data Analyst | Python | SQL | Power BI | Machine Learning Enthusiast
I help businesses turn complex data into actionable insights, optimize revenue, and drive strategic decisions. Passionate about data storytelling, predictive modeling, and building dashboards that empower decision-makers.
- Experienced in analyzing large datasets to uncover trends, anomalies, and opportunities.
- Skilled in Python, SQL, Power BI, Tableau, and data visualization.
- Passionate about building predictive models for churn, revenue leakage, and business optimization.
- Always learning and exploring the latest in data analytics and AI.
Programming & Tools | Data Analysis & Visualization | Machine Learning |
---|---|---|
Python, SQL, c+ | Pandas, NumPy, Matplotlib, Seaborn | Scikit-learn, XGBoost |
Power BI, Tableau | Excel, Power Query, DAX | Regression, Classification, Clustering |
Git, GitHub | Data Cleaning & ETL |
- Identified revenue loss worth $133K by analyzing transaction data.
- Built predictive models to detect leakage patterns.
- Created interactive dashboards for business insights using Power BI.
- Tools Used : Python , Power BI
- Predicted high-risk churn customers using Random Forest & XGBoost.
- Improved retention strategies by identifying actionable patterns.
- Visualized insights using Python & dashboards.
- Tools Used : Python , Mysql
- Developed an end-to-end Power BI dashboard for transaction analysis.
- Highlighted spending patterns, fraud detection, and KPIs.
- Automated reporting for business efficiency.
- Tools Used : Power BI
More projects can be found in my GitHub Repositories
- LinkedIn: Harsh Patil
- Email: harshrp2309@gmail.com
"Data is the new oil, and insights are the refinery."