Sankha Mukherjee
Senior Team Leader, Digital Health Data Science
Singapore
Summary
👤
Senior🎓
Top SchoolSankha Mukherjee is a senior data science leader based in Singapore with 11 years of experience building and scaling digital health analytics teams and solutions across industry and research. Currently Senior Team Leader, Digital Health Data Science at Danone, he progressed internally from Senior Data Scientist and previously led data science at UCARE.AI, combining product-oriented ML deployment with clinical and commercial priorities. His background is unusual for a data leader: a PhD in Microelectronics and a decade of earlier research and engineering in spintronics, signal processing and semiconductor device modeling, which gives him deep expertise in rigorous modeling and complex system diagnostics. He has practical experience translating advanced analytics into manufacturing and training programs (e.g., Python training for Showa Denko) and shipping healthcare-focused ML products at Holmusk and UCARE.AI. Colleagues describe him as a hands-on manager who bridges academic rigor and product delivery, mentoring teams to move models from prototype to regulated production. He brings a rare mix of experimental physics pedigree and applied data science leadership that helps solve noisy, real-world biomedical data problems.
11 years of coding experience
22 years of employment as a software developer
Doctor of Philosophy - PhD Microelectronics Engineering, Doctor of Philosophy - PhD Microelectronics Engineering at Rochester Institute of TechnologyRashtrasant Tukadoji Maharaj Nagpur University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (3)
density-estimation4
gaussian-processes3
gaussian-mixture-models3
Programming languages (3)
Github contributions (5)
sankhaMukherjee/myCutter
Oct 2017 - Mar 2021
Contributions:1 PR, 69 pushes, 3 branches in 3 years 5 months
sankhaMukherjee/densityNN
Jun 2019 - Sep 2019
Contributions:69 PRs, 74 pushes, 2 branches in 3 months
gaussian-processesgaussian-mixture-modelsnoromalizing-flowsdensity-estimation
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