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sharathStack/README.md

Hi, I'm Sharath Chandra 👋

Data Scientist · AI/LLM Analyst · MFE Candidate @ WorldQuant University

I build end-to-end data systems — from ML pipelines and NLP models to quantitative finance engines and ETL pipelines.

🔭 Currently: MFE @ WorldQuant + AI/LLM Analyst @ INNODATA & Turing 🌱 Learning: Derivatives pricing, stochastic processes, algorithmic trading 💼 Open to: Data Scientist, ML Engineer, Quant Analyst roles 📍 Based in Hyderabad, India

🛠️ Tech Stack

Languages Python · SQL ML / DL Scikit-learn · PyTorch · HuggingFace · MLflow Quant BSM · Heston · SABR · Kalman Filter · ARIMA/SARIMA Data Eng Azure Data Factory · Snowflake · PySpark · SQLite Viz Power BI · Matplotlib · Seaborn

📌 Featured Projects

Project Stack Highlight
Market Making Engine Python · asyncio A-S model, 0.31µs latency
Options Vol Surface Python · SciPy BSM · Heston · SABR calibration
AlphaNet DL Engine PyTorch · LSTM 1.24M params, walk-forward backtest
Stat Arb Engine Statsmodels · sklearn Kalman filter, Johansen test
Financial Sentiment HuggingFace · MLflow +12% over FinBERT baseline
Healthcare ETL Pandas · SQLite 70% processing time reduction

📫 sharathbablu287@gmail.com 🔗 linkedin.com/in/sharath-chandra-75b108173

Popular repositories Loading

  1. Financial-Sentiment-Analysis Financial-Sentiment-Analysis Public

    Fine-tuned DistilBERT on financial news headlines for 3-class sentiment classification. +12% accuracy over FinBERT baseline. Tracked with MLflow. Python · HuggingFace · PyTorch

    Python 1

  2. Retail-Price-Optimization-Discount-Analysis Retail-Price-Optimization-Discount-Analysis Public

    Price elasticity estimation per customer segment via log-log OLS regression. Revenue-maximising discount found using SciPy Brent's optimisation. Python · SciPy · Pandas

    Python 1

  3. Ultra-Low-Latency-Market-Making-Engine Ultra-Low-Latency-Market-Making-Engine Public

    Ultra low-latency market making engine implementing Avellaneda-Stoikov (2008). Level-2 order book with O(log n) matching. Nanosecond latency profiler. Async Python · sortedcontainers

    Python 1

  4. Statistical-Arbitrage-Pairs-Trading-Engine Statistical-Arbitrage-Pairs-Trading-Engine Public

    Full stat-arb pairs trading system: Engle-Granger + Johansen screening, Kalman Filter dynamic hedge ratio, Hurst regime classifier, event-driven backtest. Python · Statsmodels

    Python 1

  5. Customer-Churn-Prediction-Analysis Customer-Churn-Prediction-Analysis Public

    End-to-end churn prediction using Logistic Regression, Random Forest & Gradient Boosting. AUC 0.87. Reduced churn by 15% through targeted retention insights. Python · Scikit-learn

    Python

  6. Sales-Forecasting-Using-Time-Series-Analysis-ARIMA-SARIMA- Sales-Forecasting-Using-Time-Series-Analysis-ARIMA-SARIMA- Public

    Monthly e-commerce sales forecasting using ARIMA & SARIMA. SARIMA MAPE 3.6% vs ARIMA 5.2%. Includes 6-month future projection and ADF stationarity testing. Python · Statsmodels

    Python