Summary
Pankaj Bhambhani is a Data Scientist with 14 years of experience applying statistical modeling, machine learning and computer vision to real-world problems across agriculture, ecology and astrophysics. Based in Cambridge, MA, he leads development of Bayesian and Gaussian Process models at CiBO Technologies to map crop type, planting/harvest dates, and interpolate missing satellite imagery—work that has contributed to pending patents and an upcoming journal submission. He pairs a strong academic foundation in probability, ML and astrophysics with hands-on production experience in Python and Scala, containerized microservices, and geospatial tooling like QGIS, shapely and geopandas. Pankaj has also applied Bayesian neural networks to telescope data at Fermilab and scaled ML pipelines for large-scale radar and UAV datasets, demonstrating a rare blend of research rigor and operational engineering. Notably, he translates complex spatial-temporal signals into compact, field-level metrics that power product decisions, and maintains an open portfolio of his work online.
14 years of coding experience
1 year of employment as a software developer
University of Massachusetts Amherst
Master of Science - M.Sc., Astrophysics, Master of Science - M.Sc., Astrophysics at Liverpool John Moores University
Bachelor of Technology (B.Tech.), Information and Communication Technology, Bachelor of Technology (B.Tech.), Information and Communication Technology at Dhirubhai Ambani Institute of Information and Communication Technology
2005-07 Saint Xavier's High School, Adipur, (Gujarat)
English, Hindi, Sindhi, Gujarati