Beesu Rakesh

I've built AI-driven systems for automated descriptive paper evaluation, retail price optimization, and house price forecasting using Python, machine learning, and NLP.

For an automated paper evaluation system, I developed semantic text analysis and backend data parsing to reduce manual grading time and eliminate human bias. I also built predictive retail pricing models using customer choices, transaction volume, and competitor pricing data.

I'm a Computer Science Engineering graduate seeking to apply data-driven problem-solving and software development skills to cross-functional IT projects.