As a Computer Science Engineering student specializing in Artificial Intelligence, Machine Learning, and Data Analytics, I’m driven to build intelligent systems that create real-world impact.
My focus is on end-to-end development, from data collection and preprocessing to model building, explainability, and deployment.
🔭 I’m currently exploring real-time data analysis, LLMs, and Generative AI applications.
🌱 I’m continuously learning about Transformers, advanced NLP techniques, time-series forecasting, and scalable deployment strategies.
💬 Ask me about Machine Learning, NLP, Transformers, LLMs, Generative AI, Data Analytics, Time-Series Forecasting and ML Models.
| Project | Description | Links |
|---|---|---|
| Churn Predictor for a Telecom Company | Predicts customer churn using XGBoost, SHAP explainability, and SMOTE for imbalanced data. Deployed with a Streamlit dashboard for business users. | App |
| Reddit Scraper + Sentiment Analysis | Scraped Reddit data, applied NLP + VADER for sentiment analysis, and built an automated system to analyze online conversations. | App |
| Forecasting AQI in a Himalayan City | Applied VAR, SARIMAX, and ML models (GBR, XGBoost) to forecast Air Quality Index; analyzed seasonal patterns and pollutant trends. | (private repo) |
