Tapan Parekh
About Tapan Parekh
Tapan Parekh is the Director of Engineering and Data Platform at Komodo Health in the San Francisco Bay Area, with extensive experience in data management, machine learning, and cloud-based technologies.
Current Position at Komodo Health
Tapan Parekh is the Director of Engineering and Data Platform at Komodo Health. Based in the San Francisco Bay Area, he oversees engineering and data platform initiatives. His role involves managing a wide array of data and technology projects, ensuring robust data architecture and operational excellence. At Komodo Health, he leverages his expertise in operationalizing machine learning and AI models for real-time applications.
Previous Experience at Kaplan
Before joining Komodo Health, Tapan Parekh served as the Director of Engineering, Data Analytics, and Architecture at Kaplan from 2015 to 2020. His tenure at Kaplan in the Greater New York City Area spanned five years, during which he focused on enhancing data analytics capabilities, improving data architecture, and driving technological advancements in the education sector.
Background in Big Data and Information Management
With over a decade of experience in big data and information management, Tapan Parekh has held notable positions at various organizations. This includes a one-year stint at PwC as Manager of Information Management & Big Data Practice, where he contributed to the development and management of big data solutions. His comprehensive background spans cloud-based technologies, data quality, governance, and standards.
Educational Background
Tapan Parekh graduated with a Master of Science in Engineering Management from the University of North Carolina at Charlotte in 2008, following his Bachelor of Engineering in Industrial/Production Engineering from the University of Mumbai in 2006. His foundational education also includes his time at Bhavan's A.H. Wadia High School, where he studied from 1988 to 2000.
Key Skills and Industry Expertise
Tapan Parekh is known for his expertise in data modeling, BI reporting architecture, and dashboard development. He has a deep understanding of enterprise information management domains, including data warehousing and master data management. His skills also extend to developing requirements specifications, technology vendor analysis, and solution design, with hands-on experience in AWS, Hadoop, Spark, and NoSQL databases.