Projects
Explore my portfolio of data science and AI projects, showcasing real-world applications and solutions.
Customer Churn Prediction
Developed a machine learning model to predict customer churn for a telecom company with 85% accuracy. Implemented feature engineering, model selection, and deployment pipeline.
Sentiment Analysis Dashboard
Created an NLP-powered dashboard to analyze customer feedback and social media sentiment in real-time. Built using BERT for text classification and React for the frontend.
Computer Vision for Retail
Implemented computer vision solutions for shelf monitoring and customer behavior analysis in retail stores using YOLOv5 and tracking algorithms.
Time Series Forecasting
Built a time series forecasting system for inventory management using Prophet and LSTM models. Achieved 30% improvement in forecast accuracy.
Recommendation Engine
Developed a hybrid recommendation system combining collaborative filtering and content-based approaches for an e-commerce platform.
Anomaly Detection System
Created an unsupervised anomaly detection system for IoT sensor data using autoencoders and statistical methods.