AI Property Chatbot
Built a Python NLP chatbot for real estate queries including pricing trends, location insights, and property search, with automated responses and real-time data handling for listings and market conditions.
AI/ML Engineer with hands-on experience building demand forecasting, NLP, and manufacturing process-control systems in Python.
Tata Motors
March 2026 - Present
Built a demand forecasting pipeline for 25,130 industrial materials using 27 features from a 1.5-million-row monthly panel. Achieved MASE below 1.0 and identified 100% of demand spikes on the test set. Designed a two-stage binary-classifier and Tweedie-loss LightGBM regressor approach for zero-inflated demand, with quantile regression across five sparsity groups. Fixed time-series train/test data leakage and an early-stopping configuration issue. Built an automated Individuals & Moving Range control-chart analysis system with control-limit, trend, oscillation, and mean-shift detection rules, returning the responsible data-point index and per-rule and overall conformance results.
Bachelor of Computer Application (BCA)
2023 - 2026
Built a Python NLP chatbot for real estate queries including pricing trends, location insights, and property search, with automated responses and real-time data handling for listings and market conditions.
Built a Python tool that uses an LLM API to generate personalized structured study plans from user inputs, with Flask/FastAPI backend request handling, prompt design, and output consistency handling.