Shashank Jain is a Lead Data Scientist with nine years of hands-on experience building scalable ML and data engineering solutions across transportation, media analytics, and enterprise services. At Amtrak he drives data-informed strategy and productionizes models and pipelines, drawing on prior roles where he migrated SAS models to distributed cloud frameworks, implemented CI/CD for data science, and optimized Spark jobs for significant runtime gains. His background spans end-to-end data work—from Kafka and Hive ETL to Airflow DAGs, cvxpy optimization for surveys, and interactive visualization with Apache Superset—paired with an MS in Data Science from Indiana University. Known for pragmatic automation that cut manual effort and boosted performance (e.g., 70% speedups and 95% reduction in manual steps), he blends engineering rigor with applied analytics to turn complex operational data into actionable insights.
9 years of coding experience
4 years of employment as a software developer
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Kendriya Vidyalaya shajapur
Master of Science - MS, Data science, 4.0/4.0, Master of Science - MS, Data science, 4.0/4.0 at Indiana University Bloomington
Nanodegree, MACHINE LEARNING ENGINEER, Nanodegree, MACHINE LEARNING ENGINEER at Udacity
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