Summary
Yash Deshpande is a Senior Scientist in Machine Learning with eight years of experience applying ML to precision medicine and NLP, currently focused on companion diagnostics in immunology at Merck. He has moved from analytics and engineering roles at ZS and NBCUniversal into biotech ML positions at Prometheus Biosciences and Fresenius, blending production-grade pipelines with domain-specific modeling. His work spans predictive modeling for clinical and biomedical problems, character n-gram LSTM work for name-based inference, and large-scale data engineering on AWS and Redshift. Trained at NYU Center for Data Science, he combines solid statistical foundations with hands-on experience automating data quality, outlier detection, and end-to-end ML deployment. Based in Cambridge, MA, he brings a pragmatic research-to-production mindset that accelerates biomarker-driven decision-making. Colleagues describe him as someone who turns noisy clinical and observational data into actionable insights while keeping reproducibility and pipeline robustness front and center.
8 years of coding experience
4 years of employment as a software developer
Higher Secondary Education Physical Sciences, Higher Secondary Education Physical Sciences at DAV Public School, Pune, India
Master of Science - MS Data Science, Master of Science - MS Data Science at NYU Center for Data Science
Primary Education, Primary Education at Eagle Heights Public School, London, Ontario, Canada
Bachelor's Degree Electronics and Communications Engineering, Bachelor's Degree Electronics and Communications Engineering at Savitribai Phule Pune University
Specialization Certificate Data Science, Specialization Certificate Data Science at Coursera/Johns Hopkins University
English, Hindi, Marathi, Japanese