Greesham Anand is a Senior Data Scientist with 8 years of experience delivering production ML solutions across Vision AI, time series forecasting, entity resolution, and unsupervised classification. He has driven measurable business impact—leading models that improved customer retention by ~20%, boosted lead targeting accuracy by 34%, and produced a 4% MAPE home-price forecast across 37,000 ZIP codes—while also building MLOps pipelines and internal Python packages for scalable deployment. As a tech lead he has shipped patented fault-isolation and EV range-estimation systems, blending classical statistics, deep learning, and practical engineering in cloud environments like Azure. Now at Microsoft after recent leadership at Opendoor and Roofstock, he pairs strong product partnership with hands-on model engineering and CI/CD integration. Colleagues describe him as a full-stack data scientist who often translates research papers into production-ready tooling, especially for tabular/text embeddings and time-series problems.
8 years of coding experience
9 years of employment as a software developer
Master’s Degree Operations Research and Industrial Engineering, Master’s Degree Operations Research and Industrial Engineering at The University of Texas at Austin
Bachelor of Technology (B.Tech.) Engineering, Bachelor of Technology (B.Tech.) Engineering at Delhi College of Engineering
Contributions:6 pushes, 1 branch in 2 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.