Machine Learning Developer | Python · Scikit-learn · LightGBM · Time Series · TensorFlow · PyTorch · OpenCV · FastAPI · Streamlit

Building forecasting models, NLP pipelines, and AI-powered developer tools.

I’m building my foundation in Machine Learning, from data preprocessing and statistical analysis to feature engineering, model training, evaluation, and deployment. I enjoy working on practical problems like time-series forecasting and NLP, experimenting with different models, and gradually turning ML experiments into usable full-stack and AI-powered tools on the side. Currently looking for an ML internship.

An end-to-end Machine Learning pipeline and interactive Streamlit web dashboard for predicting retail store demand across multiple products and handling sparse time-series data.

• Automated Data Pipeline: Ingests transactional CSV logs, auto-detects encoding/schema, and standardizes daily timelines with zero-fill reindexing.
• Advanced ML Models: Uses LightGBM (Standard & Tweedie Regression) and Random Forest for regular and sparse/zero-inflated sales volumes.
• Time-Series Feature Engineering: Generates lag features (1, 7, 14, 28 days), calendar features, and 7/14/30-day rolling statistics without data leakage.
• Interactive Dashboard: Streamlit dashboard for data upload, store-item selection, forecast-horizon tuning, and prediction visualization.
• Fast Inference: Evaluates multi-step forecasts in <50ms using strict chronological time-based validation splits.

Python LightGBM Pandas Streamlit Scikit-learn NumPy Plotly Matplotlib

NLP classification pipeline using TF-IDF, comparing Logistic Regression, Naive Bayes, SVM, Decision Tree, and Random Forest.

• Improved spam recall from 76.1% → 93.1%, reaching 98.3% accuracy and 93.5% F1 with a class-balanced linear SVM
• Stratified evaluation with leakage-safe preprocessing

Python Scikit-learn TF-IDF

An AI-powered VS Code extension for natural-language code interaction, dead-code detection, and snapshot-based file recovery.

• Built solo-duo in a 32-hour hackathon → 2nd Runner-Up, Hexafalls Hackathon

TypeScript Gemini API VS Code API