Anna D’Souza
Anna D’Souza is the football analytics professional interviewed in EP 12: Insightful Conversation with a Football Analytics Professional by Sam on Data Science With Sam. The source presents her as a practitioner whose route into Sports Analytics combined playing experience, a high-school foot injury, economics training, Python, visualization, coaching, and professional soccer data work.
Her path is deliberately non-linear. Anna says economics introduced her to statistics, Python, data visualization, and econometrics, while the 2019 Women’s World Cup pushed her toward soccer-data experiments such as shot plots. She also coached youth soccer, earned a U.S. Soccer C license, worked in women’s football, and spent time in a referee department where VAR implementation exposed her to football technology, video/data tools, JSON files, text files, event data, and other unstructured sports data.
The source links Anna to EA, where she worked as a data reviewer and data producer connected to the NWSL side of the game. It also describes her current work in scouting and insights for an agency and with the Jamaican Women’s National Team, using metrics and KPIs that match a team’s game model.
Her main wiki role is as a bridge between technical data science and football operations. She repeatedly argues that useful analytics requires Sports Analytics Stakeholder Communication, football knowledge, empathy for coaches and players, and careful handling of athlete data privacy alongside modeling skill.
Connections
- Data Science With Sam and Sam (Data Science With Sam) - interview context.
- Sports Analytics, Football Analytics Modernization, and Sports Analytics Stakeholder Communication - practitioner frame.
- Electronic Arts, National Women’s Soccer League, and Jamaican Women’s National Team - professional contexts named in the source.
- Data-Driven Football Scouting, Football Event and Tracking Data, Athlete Data Privacy Governance, and Sports Predictive Modeling - main concepts Anna discusses.