Worked as an Intern for 4 months, during which I worked on developing a social media appusing Dart, with backend data storage being done in Firebase. The purpose of the applicationwas to provide a platform where AI generated solutions could be posted and shared

As part of USV's real world project, I lead a predictive analysis big data project. Created data prediction models which took 10-years worth of date from Crunchbase and produced an analysis of various industry fields and plotted their growth. The end goal was to find trends and use them to predict the next big sectors in the market worth investing in. Wrote a research paper (unpublished) as part of a team using these results as its base.

Led 2 teams to perform cost analysis for Hyster-Yale group for over 2-years (~100K records)of data and creating Power BI visualizations to show correlations within the data. This reduced manual scan of the data dump by 80% along with gaining insights, identifying faults and cutting down on losses in their assembly line system and driving business decisions. Over 2 million dollars’ worth of losses were identified and rectified.

Research Assistant for professor in the Computation Natural Sciences department of IIIT. Notably, I developed a stochastic algorithm in C++ in an attempt to reduce the time it takes to find a solution for the lowest energy state of a molecule with n number of atoms (for AU clusters specifically),

Worked as an Intern to provide technical support and consultation to a food delivery app startup andprovided means to include a basic AI based Chat bot within their website.