top of page
Screen Shot 2021-12-25 at 4.05.25 PM.png

Ana De Souza


Massachusetts Institute of Technology 

Certificate in Applied Data Science
March 2022 - June 2022

International Centre for Sports Studies

FIFA Executive Program in Sports Management

February 2022 - September 2022

Florida International University

Bachelors of Arts in Economics

January 2017 - April 2019

New World School of the Arts

High School Diploma and Associates in Arts

August 2011 - May 2015

Sports Industry Professional with 7+ years of experience in emerging football technologies, data analytics, and operational related endeavors. Passionate about leveraging technology and data-driven insights to drive growth and enhance the global football landscape.

Experienced in project management, strategic planning, and cross-functional team leadership. Skilled in fostering partnerships and collaborations to achieve shared goals. Committed to staying current with industry trends and continuously improving my skills and knowledge to deliver exceptional results.

I am passionate about using my skills and platform to create opportunities and give back to others through the beautiful game of football.

z6 290.jpg
  • Assist developing the Women’s Football Strategy in 2019 at Concacaf which lead to six (6) teams qualifying to the 2023 FIFA WWC

  • Built the Concacaf Center of Refereeing Excellence as a continuing education solution during the pandemic and inspired the development of the Concacaf Portal and  FIFA RED

  • Assist developing and implementing Referee Strategy and VAR in 2020-2021 which led presence of women at the 2022 FIFA WC

  • Build data frame work for self analysis and assisted implementing innovative sporting technologies with Jamaica WNT

  • Data project manager of the NWSL in FIFA 23

Mapping out player appearances

Function Development

This project involves mapping out the Costa Rican Women's National Team player appearances by creating a function.



Expected Threat Dashboard

Metric Development and Data Visualization

This project involves ploting the most threatful passes of the 2020 Men's Euro.

Dash, Pandas, and Matplotlib


Could Brazil have won the World Cup?

Decision Tree and Random Forest

This project involves determining if Brazil could have won the 2022 FIFA World Cup in Qatar by utilizing ML techniques.

Pandas and Scikit-learn


RPE and Travel

Data Analysis and Time Series

This project aims to find the relationship between RPE and distance travelled of professional soccer players from Concacaf and Conmebol during the 2022 season.



Pass Progression Insights

Metric Development and Data Visualization

This project aims to analyze how Manchester City Women build an attack using the ball from different zones on the pitch, divided into four quarters.

Pandas and Matplotlib


Concacaf W Championship Insights App

Opposition Analysis and Data Visualization

This application provides roster and tactical insights of the eight (8) participating teams in the championship.


bottom of page