Shail Choksi

An innovative entrepreneur and thought leader in healthcare analytics and edutech, with a track record of founding successful startups and designing patented analytics solutions. Accomplished in establishing agile practices, launching minimum viable products (MVPs), and securing significant investment funding. Expert at managing product roadmaps based on client feedback, industry trends, and competitive assessments. Known for offering strategic advisory services, particularly around value-based care and CMS regulations, to healthcare organizations. Excellent communicator adept at aligning business needs with solution components, and helping clients prioritize use cases for artificial intelligence and machine learning applications. Experienced in the complete Software Development Life Cycle (SDLC) and excels in leading teams, cultivating innovation, and fostering interpersonal relationships.

Equipped with a robust skill set encompassing Agile Scrum, Waterfall, and Kanban methodologies; cloud technologies such as AWS and Digital Ocean; product management tools like Jira, Asana, and Slack; and databases including MySQL and MongoDB. Proficient in documentation, workflow tools, mockups, wireframes, visualization tools, data governance, and demand management.

Throughout a distinguished career, provided data & analytics solutions as a Manager at Gray Matter Analytics, served as a Sr. Business Analyst at KPMG and the NYC Department of Telecommunication and Technology, and was a Data Analyst at American International Group (AIG). Founded and currently serves as the Product Manager of Predict Disease, a breakthrough healthcare startup utilizing artificial intelligence for disease prediction.

Holds an MBA in Accounting & Finance from the New York Institute of Technology and a Bachelor of Commerce in Accounting from Gujarat University, India. An engaged leader and advisor, with experience in educational and startup advisory roles. Recognized with awards for contributions to IT and academia, and a published author in data science and business analysis fields. Passionate about ongoing learning, innovation, and contributing to the broader industry knowledge base.