Aditya Tiwary

I’m a results-oriented Data Science student and fresher building AI-powered applications with deployed large language models like Gemini and Claude. I’ve delivered end-to-end ML projects across inventory forecasting and financial analytics, using my skills in machine learning, NLP, and data engineering to turn data into actionable outputs.

In my “Beyond the Shelf” Inventory Management System, I engineered an LSTM-based demand forecasting pipeline and used Linear Regression for weekly trends, improving prediction quality with MAPE. I also integrated Google Generative AI with custom few-shot prompts to generate plain-English restock recommendations, while curating and labeling transaction datasets end-to-end to strengthen training data quality. In my “Personal Expense Tracker,” I built a secure multi-user full-stack app using Streamlit and SQLite, automated PDF spending reports, and used Gemini prompt chains (including 30-day moving averages) to produce personalized budget recommendations—supported by EDA-driven overspending alerts and behavioral insights.