Summary
Pranit Jaiswal is a Staff Data Scientist based in the San Francisco Bay Area with nine years of experience turning complex data into business impact, most recently scaling analytics and ML solutions at Tesla through progressive roles from Associate to Staff. He blends strong statistical foundations and engineering skills—Python, SQL, Spark, AWS, Tableau/Power BI—with hands-on production experience building data pipelines and models that inform cross-functional decisions. Pranit’s background spans industry and academia, including research roles at the University of Washington and internships at Microsoft, Starbucks, and Arm, giving him a pragmatic research-to-production mindset. He’s comfortable navigating messy enterprise data (Vertica, Presto, SSIS) and translating stakeholder needs into actionable metrics and visualizations, often uncovering insights that reshape product or operations strategy.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Information Management - Data Science and Business Intelligence specialization, Master of Science - MS Information Management - Data Science and Business Intelligence specialization at University of Washington
Bachelor of Engineering - BE Information Technology, Bachelor of Engineering - BE Information Technology at University of Mumbai
English, Hindi