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Efrrowini/README.md

Hi, I'm Efrrowini 👋

BTech CS (Data Science & AI Engineering) student at Presidency University Bangalore, Class of 2028. I build end-to-end ML systems and deploy them — not just notebooks.

🎯 Currently targeting data science / ML internships for 2026-27.

🚀 Featured Projects

  • Fraud Detection — Real-time credit card fraud detection using XGBoost + Isolation Forest ensemble, SHAP explainability, FastAPI, live Streamlit dashboard. AUC-ROC: 0.9833
  • Sales Forecasting — Time series forecasting (Prophet vs LightGBM) on the Rossmann dataset. 9.47% MAPE, 39% improvement over baseline.
  • Customer Churn Prediction — End-to-end churn prediction with XGBoost, SHAP explainability, FastAPI + Streamlit. CV AUC: 0.845
  • Apaaji — Voice-first AI companion for elderly Indians. Built for Samsung Solve for Tomorrow 2026.

🛠️ Tech Stack

Python · XGBoost · LightGBM · FastAPI · Streamlit · SHAP · Scikit-learn · SQL

📫 Reach me

Pinned Loading

  1. customer-churn-prediction customer-churn-prediction Public

    End-to-end customer churn prediction with XGBoost, SHAP explainability, FastAPI and Streamlit. CV AUC: 0.845.

    Jupyter Notebook

  2. fraud-detection fraud-detection Public

    Real-time credit card fraud detection — XGBoost + Isolation Forest ensemble, SHAP explanations, Redis streaming, FastAPI, live Streamlit dashboard, Docker Compose. AUC-ROC 0.9833.

    Python

  3. sales-forecasting sales-forecasting Public

    Time series sales forecasting — Prophet vs LightGBM on Rossmann dataset. MAPE 9.47%. Deployed on Streamlit Cloud.

    Jupyter Notebook

  4. CodeCouncil CodeCouncil Public

    Multi-agent PR review system where AI agents debate code quality, security, and performance

    Python