Jong Min Park is a Senior Data Analyst at Turo since March 2024, previously serving as an Associate Data Scientist in Operations Data Science at Heyday from June 2021 to December 2023. At Heyday, Jong Min Park developed a dynamic supply planning model in Python for inventory optimization and created an ETL data pipeline for standardized acquisitions analysis, leading to four successful acquisitions. Additional responsibilities included launching five Tableau dashboards for cash flow and inventory insights and automating purchase order reports, significantly reducing order placement time. Jong Min Park's earlier experience includes roles at UPS as a Research Analyst, focusing on statistical modeling and forecasting delivery times, and a Data Science Intern at Basil Labs, where natural language processing was applied to analyze customer reviews. Jong Min Park holds a Statistics and Business Administration degree from Emory University and has educational foundations from The International School of Kuala Lumpur.
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