Turning raw data into decisions that move the business.
I'm a data analytics professional who loves finding the story hidden in the numbers. I work across the full analytics stack — from SQL databases and Python modeling to Power BI and Tableau dashboards — to help businesses make faster, smarter, data-driven decisions.
- 🔭 Focused on predictive & prescriptive analytics
- 🌱 Always exploring new ways to visualize and communicate insights
- 💬 Ask me about machine learning, dashboards, and turning data into business impact
| Domain | Tools |
|---|---|
| Languages | Python, SQL |
| ML / Analytics | scikit-learn, Predictive Modeling, Clustering, Regression, Time-Series |
| Data Wrangling | Pandas, NumPy, Excel |
| Visualization | Power BI, Tableau, Matplotlib, Seaborn |
| Optimization | Google OR-Tools, Linear/Integer Programming |
| Databases | MySQL, Relational Design (3NF) |
| Project | Highlight | Tech |
|---|---|---|
| 🏦 Bank Loan Repayment Analysis | Predicts loan defaults — ROC-AUC 0.915 | Pythonscikit-learn |
| 📱 Google Play Store Predictive Analytics | Sentiment + rating forecasting, 5 ML models | PythonML |
| 🌫️ PM2.5 Air Quality Forecasting | Time-series pollution prediction across cities | PythonARIMA |
| 🐍 End-to-End Python Data Analysis | Full pipeline: cleaning → EDA → modeling | PythonPandas |
| 🚗 Customer Behavior Models | Regression, classification & clustering combined | PythonSQLPower BI |
| Project | Highlight | Tech |
|---|---|---|
| 🏠🚲 Housing & Bike-Sharing Analytics | Predictive + prescriptive with Power BI | PythonPower BI |
| ⚡ Electric Vehicle Adoption Analysis | 14.8K EV registrations, BEV vs PHEV trends | Tableau |
| Project | Highlight | Tech |
|---|---|---|
| 🎯 Marketing Segmentation Analysis | K-Means → 4 actionable segments | PythonExcel |
| 🚦 Route Optimization (Public Transit) | Bus scheduling with Google OR-Tools (MIP) | PythonOR-Tools |
| 🗄️ Car Dealership Database System | MySQL relational DB, 9 entities, 3NF | MySQLSQL |
| Project | Highlight | Tech |
|---|---|---|
| 🚗 Uber vs Lyft Comparative Analysis | 650K rides — statistical hypothesis testing | PythonStatistics |
| 🌱 PESTEL Analysis — Ethanol Blending (India) | Policy analytics with correlation insights | PythonAnalytics |
| ⚖️ Ethics in Prescriptive Analytics | Responsible optimization & data privacy | Optimization |
📌 Each repository is a full case study — Business Problem, Dataset, Methodology, Key Insights, and Business Impact, with custom visuals and dashboards.