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Ana De Souza

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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.

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Alternative Broadcast & 3D Virtual Recreations for FIFA

3D Tracking Data

Alt Cast reimagines the match as a live 3D broadcast, using tracking data to recreate every player and the ball in real time — a next-gen way for fans to watch the game.

Product Management

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Accessible Fan Experience at FIFA

2D Tracking Data

The haptic board uses FIFA’s live ball-tracking data to power a vibrating dot that moves across the tactile pitch in real time, letting blind and low-vision fans feel exactly where the ball is on the field as the match unfolds.

Product Management

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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

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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

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Data Collection for Confederations at FIFA

Performance Analysis

Working with the confederations allows FIFA to support many of its member associations by giving them access to world-leading data services, increasing global competitiveness and enhancing global football development.

Product Management

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SALT Research for FIFA

3D Tracking Data

Semi-automated Last Touch (SALT) detection, designed to help referees adjudicate out-of-bounds possession decisions where player and ball occlusion may pose challenges.

Data Engineering

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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

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Physical Performance Dashboard for 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

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Automated Event Data Collection at FIFA

Event Data and Performance Analysis

Implementation of semi-automated event data collection system at the the Paris 2024 Olympic Football Tournaments. System derives events from 3D Limb tracking data and classifies them into football categories (football events).

Plotly and Matplotlib

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Individual Club Performance for JWNT

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

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Using Broadcast Tracking Data

Contextualization and Tracking Data

The project aims to use and contextualize SkillCorner broadcast tracking data.

Panel and Matplotlib

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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

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© 2024 Fútbol Ace. 

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