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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.
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Assist developing the Women’s Football Strategy in 2019 at Concacaf which lead to six (6) teams qualifying to the 2023 FIFA WWC
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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
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Assist developing and implementing Referee Strategy and VAR in 2020-2021 which led presence of women at the 2022 FIFA WC
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Build data frame work for self analysis and assisted implementing innovative sporting technologies with Jamaica WNT
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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.
Pandas
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.
LookerStudio
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.
LookerStudio
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