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narendrakalam2001/README.md

Hi, I'm Narendra Kalam 👋

Data Scientist | ML Engineer | Building Production-Grade ML Systems

🚀 About Me

  • 🎓 MSc Computer Science graduate (CGPA 7.20) — Dr. Babasaheb Ambedkar Marathwada University
  • 🥇 NASSCOM Gold Medalist — Full Stack Data Science & AI, and Full Stack Python Development (Naresh IT, Hyderabad)
  • 🏗️ Building 14+ production-grade, end-to-end ML systems — not notebooks, but full MLOps pipelines
  • 🔧 Every project ships with: FastAPI serving, Streamlit monitoring dashboards, Champion-Challenger model governance, SHAP explainability, PSI drift monitoring, Docker + CI/CD
  • 📈 Currently expanding into NLP, Computer Vision, and Deep Learning domains
  • 💼 Open to Data Scientist / ML Engineer roles

🏆 Featured Projects

Project Domain Champion Model Key Metric
Credit Risk Prediction BFSI / Lending LightGBM F1 = 0.9741 · ROC-AUC = 0.9991
Credit Card Fraud Detection BFSI / Fintech ExtraTrees F1 = 0.8962 · 284K transactions
Customer Churn Prediction Telecom / BFSI CatBoost F1 = 0.634 · Recall = 0.7312
House Price Prediction Real Estate CatBoost R² = 0.9053 · RMSE = $20,128
Store Sales Forecasting Retail LightGBM Ensemble R² = 0.9761
Energy Demand Forecasting Energy / Utilities ElasticNet R² = 0.9759 · RMSE = 712 MW
Stock Price & Risk Forecasting Fintech Ridge Sharpe = 0.80 · DirAcc = 53.44%
Resume Screener AI HR Tech / NLP LightGBM F1 = 0.7608 · Top-3 = 0.9416

📌 More projects (NLP, Computer Vision, Deep Learning) in progress — check pinned repos for the latest.

🛠️ Tech Stack

Languages & Core Python SQL

ML / DL Scikit-learn XGBoost LightGBM CatBoost TensorFlow

MLOps / Deployment FastAPI Streamlit Docker MLflow GitHub Actions

Explainability & Analysis SHAP Pandas Tableau

📊 GitHub Stats

📫 Connect With Me

Pinned Loading

  1. credit-risk-decision-engine-mlops credit-risk-decision-engine-mlops Public

    Production-grade credit risk decision engine — LightGBM, F1=0.9741, ROC-AUC=0.9991, FastAPI + Streamlit, Champion-Challenger MLOps

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  2. fraud-detection-ml-system fraud-detection-ml-system Public

    Real-time fraud detection system — ExtraTrees, F1=0.8962 on 284K transactions, FastAPI + Streamlit, SHAP explainability

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  3. energy-demand-forecasting-mlops energy-demand-forecasting-mlops Public

    Grid-scale energy demand forecasting — ElasticNet, R²=0.9759, RMSE=712 MW, 4-tier dispatch decision engine

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  4. house-price-prediction-mlops house-price-prediction-mlops Public

    Real estate valuation system — CatBoost, R²=0.9053, RMSE=$20,128, 4-band valuation engine, FastAPI + Streamlit

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  5. resume-screener-ai-mlops resume-screener-ai-mlops Public

    NLP-based resume screening system — LightGBM, F1=0.7608, Top-3=0.9416, TF-IDF + Match Engine, FastAPI + Streamlit

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  6. stock-risk-forecasting-mlops stock-risk-forecasting-mlops Public

    Quantitative stock forecasting system — Ridge, Sharpe=0.80, 3-tier risk engine, VaR-based signal generation

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