- 🎓 Final-year B.Tech IT student passionate about Data Science, Machine Learning & Analytics
- 📈 Built real-world projects in Time Series Forecasting, Predictive Modeling & SQL Analytics
- 🌱 Currently learning Advanced Machine Learning, Model Deployment & Cloud Basics
- 💡 Interested in solving business problems using data-driven insights
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🔭 End-to-End Oil Price Forecasting System (1985–2026)
(ARIMA, SARIMA, Random Forest, Feature Engineering, RMSE/MAE) -
📊 Strengthening skills in EDA, Machine Learning Pipelines & Data Analytics
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🤝 Open to Data Science Internships / Entry-Level Analyst Roles
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Converting data findings into business meaning and action.
- Python (Pandas, NumPy, Scikit-learn)
- Machine Learning (Regression, Classification, Time Series)
- SQL (Joins, CTEs, Window Functions)
- Data Analysis & Visualization
- Real-World Forecasting Projects
I debug models better with chai ☕ and curiosity.
✅ Oil Price Forecasting (1985–2026)
- Time-Series EDA + ARIMA/SARIMA Baselines
- Random Forest with Lag Features
- Forecasting Pipeline + RMSE/MAE Evaluation
✅ Netflix Data Analytics (SQL Project)
- 8,800+ Records Analysis
- Window Functions, CTEs, Trend Insights
✅ Divorce Prediction (Logistic Regression)
- Classification Model + Feature Engineering
- Precision, Recall, F1-score Metrics