Gonzalo Martinez
About Gonzalo Martinez
Gonzalo Martinez is a Senior Optimization Associate at Flexport in Los Angeles, California, with a background in finance and pricing analysis.
Title
Gonzalo Martinez is currently serving as a Senior Optimization Associate at Flexport in Los Angeles, California. He has been in this role since joining the company and manages various initiatives related to optimizing internal processes.
Company
Gonzalo Martinez works at Flexport, a prominent freight forwarding and customs brokerage company that leverages technology to make global trade efficient and transparent. Located in Los Angeles, California, his responsibilities revolve around optimization, pricing, and internal system improvements.
Previous Work Experience
Before joining Flexport, Gonzalo Martinez held various positions at Fastenal Company, such as Pricing Analyst for 7 months, Regional Finance Support for 1 year, Account Specialist for 4 months, and Sales Support for 9 months. He also served as a Finance Intern at the City of South Gate, and prior to that, he held roles at California State University, Long Beach as a Guest Relations Officer and Undergraduate Research Assistant and as a Loss Prevention Agent at Ross Stores, Inc.
Education and Expertise
Gonzalo Martinez holds a Master of Arts in Economics, Option in Financial Economics from California State University-Los Angeles, completed between 2018 and 2020. He also earned a Bachelor of Science in Business Administration, Option in Finance from California State University-Long Beach, from 2014 to 2018.
Key Projects and Initiatives at Flexport
At Flexport, Gonzalo Martinez managed an inflation proposal for the Ocean FCL business section, adjusting shipment fee prices to reflect current economic conditions in 2022. Additionally, he developed dashboards on Snowsight to track key metrics such as coverage, prices, conversion rate, and volume across different trade lanes. Martinez also created an average model to track historical transit times based on port pairs and carriers, which was utilized to validate a forward-looking machine learning model.