Summary
Animesh Kansal is a Senior Data Scientist based in Phoenix with nine years of experience blending programming, statistical modeling and automation to deliver production-ready ML solutions. He holds a BS in Information Technology and an MS in Business Analytics and has built end-to-end frameworks for prediction, data collection and BI across industries—from gaming systems at Scientific Games to vehicle telemetry and market-value microservices at Peterbilt. Proficient across Python, R, SQL, Spark and Hadoop, he applies classical and deep learning methods (including CNNs, RNNs/LSTM and reinforcement learning) and deploys models and APIs in cloud-friendly workflows. Known for improving data quality and operational efficiency, he has a background in QA automation that informs robust, testable pipelines. Outside of work he performs and records music on YouTube, reflecting a creative streak that complements his analytical mindset.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Business Analytics ( Data Science ), Master of Science - MS, Business Analytics ( Data Science ) at The University of Texas at Dallas
High School, High School at KL Arya DAV Public School, Hisar
Bachelor of Science - BS, Information Technology, Bachelor of Science - BS, Information Technology at J.C. Bose University of Science and Technology, YMCA
English