Providing strategic business insights and recommendations to clients, analyzing market trends and organizational data to optimize performance, improve operational efficiency, and drive business growth

Being a member of AUTIC has significantly sharpened my industry knowledge, investment, and analytical skills. Engaging with top-tier analysts and associates in the club, many with experience in banks and hedge funds, has been immensely beneficial. With a strong foundation in data science from the University of Aberdeen and quantitative finance from IIT Kanpur, I actively contribute to data-driven decisions. Additionally, as the outreach coordinator for the Math Society, serving over 200 members, I have developed my organizational leadership and problem-solving skills, driving my commitment to fostering inclusive and thriving academic communities.

Developed probabilistic predicate abstraction programs to simplify complex deterministic models using Bayesian statistics, making them more comprehensible.Designed and implemented actual causality algorithms for various machine learning models and quantified their harm to promote fairness.Successfully implemented a Biological Knowledge graph using neurosymbolic causality for the purpose of link prediction.

Gained nearly four years of experience in culturing various types of stem cells, analyzing their growth, and modeling results using statistical software.