• As a part-time Data Analyst and Developer, I designed and built a Node.js/Express platform to centralize performance data for Cavalry FC’s first team.
• Automated data ingestion exclusively from Wyscout and Opta, normalizing and storing everything in PostgreSQL.
• Developed interactive dashboards (shot freeze-frames, pass sonars, heatmaps) with D3.js and custom charting to let coaches filter by match, player, or metric in real time.
• Produced detailed scouting reports by round, at mid-season, and end-of-season leveraging the analytics tools and dashboards I created.
• Wrote scripts to automate bulk CSV → SQL conversions and scheduled data-refresh jobs, streamlining the analytics workflow.

• Managed internal operations, supervised team members, and assigned daily tasks.
• Coordinated logistics for multiple events across cross-functional teams.
• Handled purchasing requisitions, inventory control, and coordination for F&B events.
• Familiar with ERP environments such as ADICO, applying procurement, stock control, and invoice tracking aligned with logistical standards.

• Developed a custom scouting model to identify transfer targets across multiple leagues.
• Created interactive heatmaps and performance reports using Python and mplsoccer.
• Filtered, cleaned and merged data from Wyscout and StatsBomb sources to ensure data accuracy.

• Supervised housekeeping teams to ensure daily task completion and uphold quality standards.
• Managed booking requests, room assignments and coordinated with front-desk for seamless guest experiences.
• Prepared and delivered daily operational reports to senior management.

• Conducted video analysis and data scouting for South American talent pools.
• Identified and profiled prospective players using StatsBomb and Wyscout datasets.
• Delivered concise scouting reports with key performance metrics.

• Managed personal banking portfolios, recommending tailored financial solutions.
• Advised clients on credit, savings and investment products to meet their goals.
• Ensured high levels of customer satisfaction through proactive support.

• Managed project budgets and coordinated funding disbursements for community programs.
• Oversaw procurement processes and negotiated with suppliers to optimize costs.
• Prepared periodic financial reports and presented results to stakeholders.

• Covers data modeling, analytics, and reporting using Power BI and Azure services.
• Teaches best practices for driving informed business decisions through data visualization.
• Program info: https://www.sait.ca/programs-and-courses/certificates/business-intelligence-data-analysis-and-reporting

• The CONCACAF C Coaching Diploma equips coaches with foundational skills in team management, training methodologies, and performance analysis.
• Ensures alignment with North American soccer development standards.
• Learn more: https://canadasoccer.com/coach/coach-education-and-certification/c-diploma/

• Focused on leveraging big data and machine learning to enhance scouting processes and player profiling.
• Teaches tactical decision-making based on advanced analytical techniques.
• Program details: https://english-programs.sportsdatacampus.com/masters-in-big-data-applied-to-scouting-in-football/

• Undergraduate program emphasizing organizational strategy and operational management.
• Developed analytical decision-making skills for corporate environments.
• More info: https://admision.uautonoma.cl/carreras/ingenieria-en-administracion/

What it is 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.

Key Highlights

Pick your match from a simple sidebar menu (competition → season → game).

Filter by event (e.g. Shots) in one click.

See the snapshot: every player’s position on the pitch when a shot is taken, with jersey numbers and colors.

Readable times: it shows “72’+2” so you instantly know the moment.

Personal touch: your profile card (photo, badges) sits at the top for branding.

How to run

Clone the repo and pip install -r requirements.txt.

In your terminal: streamlit run app.py.

Point your browser at the local URL, choose a match, select “Shot” and enjoy the visual breakdown.

This keeps the focus on what you see and how you get there, without diving into every library detail.

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. The app integrates StatsBomb Open Data APIs to fetch match and event data, stores everything in a PostgreSQL database, and delivers interactive dashboards—shot freeze-frames, pass sonars, and heatmaps—powered by D3.js. Coaches and analysts can filter by match, player, or metric, export custom reports, and monitor key performance indicators in real time. By replacing scattered Excel files with a unified, Docker-containerized Node.js platform, this solution streamlined data workflows and enhanced tactical decision-making across the club.

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. Partnering with Matthias Clein through the Sport Data Campus program, we fetched performance and event data via StatsBombPy (with optional Wyscout imports), processed it with Pandas, and generated customizable player profiles aligned with the sporting management’s criteria. Users can filter leagues by tier, weight metrics to match specific roles, compare side-by-side player dossiers, and export tailored shortlist reports. Interactive visualizations—radar charts. This platform replaced manual Excel sheets, delivering a data-driven scouting workflow and accelerating talent identification for the club.

As a Data Analyst, I developed a Streamlit-powered RADAR Dashboard for interactive comparison of player and team performance metrics. The app ingests CSV exports or live feeds from Wyscout, processes data with Pandas, and renders dynamic radar charts using Plotly Express. Users can select multiple players or teams, choose custom metric groups, normalize values by position, and export high-resolution charts for presentations. By replacing static spreadsheets with this unified web interface, the RADAR Dashboard streamlined visual analysis workflows and elevated tactical insights for coaches and analysts.

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 across target leagues segmented by tier. The app normalizes raw exports, groups players by style and performance clusters, and supports season-over-season comparisons and side-by-side analyses. Backend routing is handled with Express, while the frontend renders interactive dashboards for cluster visualizations, comparative metrics, and role-specific profiles. Replacing fragmented Excel workflows, this tool delivers a unified, data-driven scouting solution that accelerates talent discovery and informs recruitment decisions.

• 100% Online course on GPS load control in football training.
• 10 academic hours certified by AC|FC.

• 100% Online course on football scouting techniques.
• 12 academic hours certified by AC|FC.

• 45 academic hours focused on advanced scouting methodologies and game analysis techniques.

• 60 ECTS credits covering data sources, micro/macro metrics, visualization tools, and machine learning for scouting.

• Completed specialized training in Power BI for interactive football analytics dashboards.

• Recognized for coordinating the Big Data at Soccer advisory program under tutor Ismael Gómez (DatoFutbol).

• Standard First Aid with CPR/AED
• ASA - Learn to Train or Soccer for Life
• NCCP Make Ethical Decision
• NCCP Making Head Way in Soccer
• NCCP Emergency Action Plan
• NCCP Safe Sport Training
• NCCP Understanding the Rule of Two
• Respect in Sport for Activity Leaders (Soccer)