Data Science Intern – Supply Chain Optimization
During my 12-week hybrid internship with Americold, I worked on the Supply Chain Solutions team and gained exposure to the unique challenges of the cold storage 3PL industry. Americold, as a global leader in temperature-controlled warehousing and logistics, sets itself apart through its integrated end-to-end supply chain solutions, including network optimization, transportation optimization, and customized warehousing solutions.Key contributions and projects:- Extracted and cleaned over 3 billion rows of order data from AWS Redshift using SQL and Python, reducing query time and improving data processing efficiency.- Developed a greedy algorithm to optimize transportation routes, reducing empty miles in the DFW transportation network.- Designed Python-based interactive map visualizations with Folium to present key insights to cross-functional teams, enabling data-driven decision-making.-Collaborated with the Supply Chain Lab to explore untapped WMS data and improve enterprise data quality for operational optimization.I’m thankful for this opportunity, which deepened my understanding of how data analytics can drive efficiency in the cold storage logistics industry and helped me appreciate the innovative approaches Americold uses to integrate technology and optimize supply chain solutions.