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Prasad Kothari
Head of Analytics, Guest lecturer, Author of 3 books, Editorial board member (he/him/his)
Prasad Kothari is a seasoned professional with 16 years of extensive experience in analytics, data science, and leadership across various industries.
He specializes in Analytics, Data Science, Machine Learning, Deep Learning, Computer Vision, and Advanced Topological Data Analysis for both commercial and research clients.
Prasad is highly skilled in Client Management, Growth Strategy, and Leadership, with a proven track record of nurturing high-performance teams.
He is an accomplished author with two published books on analytics and social networks for healthcare, in addition to multiple research publications in the field.
Prasad Kothari is an active member of the academic community, serving as an IEEE Research Paper reviewer in NLP and Genome Analytics, and as a Book reviewer for works such as 'Mastering predictive analytics with R' and 'Deep learning with R'.
Furthermore, he actively mentors research students and serves as a Guest Lecturer in reputable institutions.
Prasad has presented his work at prestigious events like the NIH NCI Symposium on Personal Control of Genomic Data under the Whitehouse Cancer Moonshot program, focusing on Multiple Myeloma Genome Analytics and deep learning.
He has also delivered Guest Lectures on data science and image analytics at various platforms, showcasing his expertise in the field.
Prasad Kothari's educational background includes an M.S. in Management Information Systems from the University of Arizona, a B.E. in Industrial Engineering/Production Engineering from Veermata Jijabai Technological Institute (VJTI), and a Ph.D. in Behavioral Health (DBH) from Arizona State University.
He has also pursued a Thematic Einstein Semester in Geometric and Topological analysis at Technische Universität Berlin.
In terms of professional experience, Prasad has held key roles in renowned organizations such as Hansa Cequity, Talent Inc., Axtria - Ingenious Insights, The Smart Cube, PwC, Sutherland, Aithent, SEI GIS, University of Arizona, Fractal Analytics, and Siemens.
His diverse roles have spanned from Data Analyst to Vice President Analytics, highlighting his versatility and adaptability in the field.