Eugenio Gastelum
About Eugenio Gastelum
Eugenio Gastelum is a Growth Data Analyst at Umba, where he has worked since 2021. He has a background in data science and chemical engineering, with experience in business automation and significant contributions to inventory cost reduction and investment approvals.
Work at Umba
Eugenio Gastelum has been employed at Umba as a Growth Data Analyst since 2021. In this role, he focuses on leveraging data analytics to drive growth strategies for the company. His work involves utilizing various programming languages and analytical tools to develop business automation solutions that enhance operational efficiency.
Previous Experience at Sintec
Prior to his current role, Eugenio worked at Sintec for two years as a Data Science Consultant from 2019 to 2021. He also held positions as an Advanced Analytics Analyst and an Intern during his tenure at the company, contributing to projects that improved forecast certainty and reduced inventory costs. His experience at Sintec provided him with a solid foundation in data science and analytics.
Education and Expertise
Eugenio Gastelum studied at Harvard University, where he completed an online course in Data Science: R Basics through the Edx platform in 2017. He also holds an Engineer's degree in Chemical Engineering from Universidad Iberoamericana, which he obtained from 2014 to 2018. His educational background equips him with a strong analytical skill set applicable to various data-driven projects.
Achievements in Data Analytics
Eugenio has achieved significant results in his data analytics career. He contributed to a 30% reduction in total inventory capital costs for a company with an annual revenue of 3.4 billion USD. Additionally, he improved forecast certainty by 6% for a forecast valued at 96 million USD per year, showcasing his ability to apply analytical techniques to real-world business challenges.
Specializations in Data Science
Eugenio specializes in various applications within data science, including forecasting, inventory policy calculation, product clustering, and discrete simulation of plants and warehousing. His expertise in these areas enables him to develop effective strategies and tools that support business operations and decision-making.