Francisco Goitia

Francisco Goitia has a strong background in machine learning engineering and data science. Francisco currently works at StatsBomb as the Lead Machine Learning Engineer, a position they have held since December 2021. Prior to their current role, they served as a Senior Machine Learning Engineer at StatsBomb from February 2020 to December 2021.

Before joining StatsBomb, Francisco worked at Jampp as a Machine Learning Engineer from January 2019 to January 2020. In this role, they were responsible for developing predictive models and bidding strategies for pricing auctions. Francisco also designed and built a Shiny dashboard for analytics transparency.

From August 2016 to January 2018, Francisco worked as a Data Scientist at R/GA. Here, they developed a system for movement recognition based on Dynamic Time Warping and Shapelets. Francisco also built a Scalatra server for storing data, training models, and sending models to devices.

Francisco'scareer at Jampp began in August 2015, where they started as a Python Developer. In this role, they contributed to the development and maintenance of a Real-time Bidder, focusing on data tracking and utilizing Python high-performance techniques.

Overall, Francisco Goitia has demonstrated expertise in machine learning engineering, data science, and software development throughout their career.

Francisco Goitia completed their education at the Georgia Institute of Technology from 2018 to 2019. During this time, they pursued a Master of Science in Analytics, with a focus on Data Science. Prior to that, from 2010 to 2015, they attended the University of Buenos Aires where they obtained a Licentiate in Administration. Francisco'sfield of study at the University was Business Economics.