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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 data analytics and technology professional that has implemented advanced technologies like auto-tracking cameras, cloud video storage, Video Assistant Referee (VAR), to enhance performance analysis for national teams and match officials.
Contributing to Jamaica's 13th place finish at the FIFA Women’s World Cup in 2023 was a rewarding experience that highlighted the impact of these innovations.
Currently, working as a Football Data Manager in the Football Technology & Innovation Department at FIFA where she solves football related problems using data science techniques and oversee the development and operations of the Football Data Ecosystem and Products.
Individual League Performance Dashboard
Opposition Analysis
Developed an interactive dashboard to analyze individual player performance metrics for the Brazil Women's National Team in preparation for the FIFA Women's World Cup.
LookerStudio
Using Broadcast Tracking Data
Contextualization and Tracking Data
The project aims to use and contextualize SkillCorner broadcast tracking data.
Panel and Matplotlib
USWNT Roster Insights for CBS Sports
Insights and Depth Chart
Developed a roster insights tool for CBS Sports focusing on the US Women's National Team (USWNT) for the road to the 2023 FIFA Women's World Cup in Australia and New Zealand.
LookerStudio
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
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
Costa Rica WNT Appearances
Function Development
This project involves mapping out the Costa Rican Women's National Team player appearances by creating a function.
Pandas
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
Expected Threat Dashboard
Metric Development and Data Visualization
This project involves ploting the most threatful passes of the 2020 Men's Euro using Statsbomb's Open Data.
Dash, Pandas, and Matplotlib
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
Physical Performance Dashboard USOPC
Data Vizualization
Developed a sophisticated physical performance dashboard for the United States Olympic & Paralympic Committee (USOPC) utilizing GPS data to monitor athlete performance.
Tableau
Analyzing Referee Appointments
Reporting and Statistics
Developed this notebook that involves analyzing referee appointments to generate insights for leadership reporting and decision-making.
Pandas
Exploratory Data Analysis GPS Data USOPC
Exploratory Data Analysis
Conducted exploratory data analysis on GPS data for the United States Olympic & Paralympic Committee (USOPC) to derive insights and patterns related to athlete performance and training.
Pandas
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