Felipe Ormazabal

Soccer Data Analyst
📍 Calgary, AB, Canada
✉️ Felipeormazab@gmail.com
🔗 linkedin.com/in/felipeorma | 🌐 felipeorma.com | 💻 github.com/felipeorma

About Me

I'm originally from Chile, and in 2021 I made the move to Canada. This transition gave me the opportunity to reinvent myself and dedicate my career to what I'm truly passionate about: soccer.

While I had experience as a Data Analyst in corporate environments, I decided to combine that expertise with the game I love to create something meaningful.

Since then, I've been on a continuous journey of learning and skill-building:

I'm always exploring new analytical methods and cutting-edge technologies to enhance soccer decision-making processes. My goal is to bridge the gap between raw data and tactical insights, helping teams make informed decisions that lead to success on the pitch.

Forever chasing that perfect play!

Experience

Data Recruitment – Cavalry FC

2025 – Current | Calgary, AB, Canada

Programs Team Lead – Banff Centre

04/2023 – 06/2025 | Banff, Alberta, Canada

Scout & Data Analyst Intern – Deportivo Cuenca

06/2024 – 12/2024 | Remote

RQC Supervisor – Rimrock Hotel

09/2021 – 04/2023 | Banff, Alberta, Canada

Soccer Scout Intern – Albacete Balompié

01/2023 – 04/2023 | Remote

Account Executive – Banco Santander

01/2017 – 06/2017 | Pucón, Chile

Project Coordinator – FOSIS

12/2014 – 12/2017 | Temuco, Chile

Projects

OPEN DATA Hudl-Statsbomb 360

2025 | View Project

An easy-to-use Streamlit app that turns StatsBomb match data into clear, interactive visuals—showing you exactly who's where when a shot happens, complete with timestamp labels.

Technologies: Python, Streamlit, football-analytics, data-visualization, mplsoccer, statsbombpy

Cavalry FC's Platform

2025 | View Project

As a Data Analyst and developer for Cavalry FC, I built a Node.js-based web application using Express to centralize and visualize performance data for Canadian Premier League teams and players.

Technologies: node.js, express, javascript, d3.js, postgresql, docker, football-analytics, canadian-premier-league

Deportivo Cuenca Scouting App

2024 | View Project

As a Data Analyst and scout for Deportivo Cuenca, I built a Streamlit-based tool focused exclusively on player scouting across target leagues segmented by tier.

Technologies: streamlit, python, pandas, mplsoccer, statsbombpy, football-analytics, soccer, scouting

RADAR Dashboard CONMEBOL QWC2026

2024 | View Project

As a Data Analyst, I developed a Streamlit-powered RADAR Dashboard for interactive comparison of player and team performance metrics.

Technologies: streamlit, python, pandas, plotly, radar-chart, sports-analytics, football-analytics, data-visualization

Own Scouting players tool

2023 | View Project

As a Data Analyst and developer, I built a Node.js-based scouting platform that ingests Wyscout data and applies multiple statistical models and clustering algorithms to identify player profiles.

Technologies: node.js, express, javascript, wyscout, clustering, machine-learning, football-analytics, scouting

Education

Business Intelligence, Data Analysis and Reporting Certificate

Current | SAIT, Calgary, Alberta, Canada

CONCACAF C Coaching Diploma

Current | Alberta Soccer Association, Alberta, Canada

MSc in Big Data Applied to Football Scouting

2024 | UCAM, Spain

Engineering in Administration

2014 | Universidad Autónoma de Chile, Temuco, Chile

Certifications

Skills