Projects
A collection of data science and machine learning projects I've worked on
Customer Churn Prediction
Machine learning model to predict customer churn using ensemble methods. Achieved 95% accuracy with XGBoost and feature engineering.
PythonScikit-learnXGBoostPandas
Sentiment Analysis System
Built a transformer-based sentiment analysis system for social media data using BERT. Processed over 1M tweets with real-time classification.
PyTorchBERTNLPTransformers
Stock Price Forecasting
Time series forecasting model using LSTM neural networks to predict stock prices. Implemented with TensorFlow and backtesting framework.
TensorFlowLSTMTime SeriesNumPy
Image Classification Pipeline
End-to-end computer vision pipeline for multi-class image classification using CNNs. Deployed on AWS with auto-scaling.
PyTorchCNNComputer VisionAWS
Recommendation Engine
Collaborative filtering recommendation system for e-commerce. Implemented matrix factorization and deep learning approaches.
PythonCollaborative FilteringSurpriseFlask