Summary
Abhishek Palle is a data scientist with eight years of experience applying R, Python, SQL and Spark to real-world problems across insurance, manufacturing and robotics. He has built classification, regression, clustering and NLP models and production-ready dashboards—bringing ensemble models, time series forecasting, and anomaly detection into business workflows to cut forecast error and inform pricing and operations. At Stanley Black & Decker he combined ML with BI to deliver interactive AWS-hosted dashboards and a consignment pricing model; at Endless Robotics he trained a Faster-RCNN detector for a wall-painting robot achieving strong object-detection performance. With a Master’s in Industrial Engineering (Data Science) from Texas A&M and a mechanical engineering background, he blends systems thinking with hands-on ML engineering. Check his GitHub for end-to-end projects that demonstrate his focus on deployable solutions rather than just experimental notebooks.
8 years of coding experience
2 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master's degree, Industrial Engineering (Data Science), Master's degree, Industrial Engineering (Data Science) at Texas A&M University