At AirDawgLabs, I evaluated AI and LLM outputs against defined criteria, analyzed their quality and performance, and investigated failures in structured testing workflows using Python, Git, Docker, and Linux.
I created an interactive Tableau dashboard exploring Apple iPhone market trends in India. It presented pricing, specifications, and consumer behavior through KPI-driven and story-based visualizations.
For a machine learning project on predicting liver cirrhosis, I developed a system using clinical data and deployed a Flask application for real-time predictions, achieving 80% accuracy. I improved model reliability through preprocessing, feature engineering, and evaluation.
