A final-year B.Tech student with a strong foundation in analytics and machine learning. I specialize in building end-to-end solutions — from exploratory SQL and feature engineering to real-time model deployment using Streamlit.
This portfolio includes a collection of business-facing projects that reflect my ability to extract insights, build models, and deliver production-ready tools.
- Built on 1.3M+ loan records
- Achieved 67% recall and 0.43 F1
- Deployed using Streamlit for real-time prediction
- Deployed model with 84% accuracy, 0.81 F1
- Identified churn patterns: short tenure, no tech support, monthly billing
- Analyzed 6.3M+ transactions using SQL
- Flagged ₹12B+ in high-risk flows using fraud scoring logic
- Languages: Python, SQL
- Libraries: Scikit-learn, XGBoost, Pandas, NumPy
- Tools: Streamlit, Power BI, Tableau, Excel
- Databases: PostgreSQL, MySQL
- Domains: Fraud Detection, Credit Risk, Customer Analytics
This portfolio is shared for educational purposes only.
You may reference code, but full reuse or replication is not allowed without permission.