Summary
Kevin Kasundra is a Senior Data Scientist with seven years of experience building and deploying ML-driven analytics and optimization solutions across retail, energy, and marketing domains. He has led end-to-end attribution and media mix modeling work on Google Cloud that scaled client revenue and productionized ML pipelines, and previously developed robust XGBoost traffic-volume estimators and travel-pattern models at the National Renewable Energy Laboratory. Comfortable in both research and production settings, he combines statistical rigor (Bayesian optimization, multinomial logistic regression) with engineering practices (MLOps, Databricks, GCP) to move models from prototype to impact. His background in industrial and systems engineering informs supply-chain and optimization projects for firms like Arconic and VTI, while an undergrad thesis on wind-turbine parameter tuning highlights a long-standing interest in applied optimization. Based in Denver, he pairs hands-on modeling skills with a collaborative bent—he’s as likely to discuss IoT and hiking routes as experiment design and model deployment.
7 years of coding experience
6 years of employment as a software developer
Bachelor's degree Engineering, Bachelor's degree Engineering at Pandit Deendayal Energy University
Master's degree Industrial Engineering (Data Science Specialization), Master's degree Industrial Engineering (Data Science Specialization) at Texas A&M University