About Me
Hi, I'm Jay!
Currently pursuing an MS in Information Systems at NYU's Courant School of Mathematics and Stern School of Business, I hold a BE in Computer Engineering from Mumbai University. My professional background includes working as a Senior Data Engineer at LTIMindtree and a Digital Transformation Product Intern at Lenovo in the US. I am particularly passionate about the intersection of technology and health-tech, aiming to leverage my skills to address critical challenges in the industry.
NYU
Leadership, Learning, and Impact at NYU
As Vice President of the Graduate Student Council at NYU, I focus on fostering inclusive leadership to ensure students feel heard and supported through the challenges of graduate school. Additionally, as a Graduate Teaching Fellow for the 'Value-Driven Health Care' course, I engage deeply with healthcare topics, guiding students through discussions on improving healthcare delivery and value. My passion for healthcare continues to grow as I explore innovative solutions to industry challenges.
Lenovo
Driving Strategic Innovation
As a Digital Transformation Product Intern at Lenovo, I led the development of a real-time insights dashboard to track $300 million in annual investments. Mentoring two undergraduate interns, we introduced a new project lifecycle methodology to track projects better. The result was a user-friendly product that improved operational efficiency, allowing project managers to update data easily and providing executives with valuable insights for informed decision-making.
LTIMindtree
Empowering Data-Driven Decisions
As a Senior Data Engineer at LTIMindtree, I collaborated with cross-functional teams to build data models and low-code apps, enabling financial analysts to make informed decisions. Partnering with senior executives from LTIMindtree and Chevron, I developed a Finance Enhancement Dashboard that tracked project performance, reduced billing discrepancies, and enhanced client trust by providing greater transparency and highlighting areas for continuous improvement.
Innovating Tomorrow
AI
AI-Driven Solutions
AI is revolutionizing industries by solving complex challenges. With LegiSight, I’m building a system to predict legal and legislative outcomes using embeddings from cases and precedents. In healthcare, our economic analysis for the AI-powered medical triaging app shows that leveraging large language models (LLMs + RAG) could reduce wait times, save $3.6M annually, and prevent 200,000 avoidable ER visits.
