Madrid, Spain
Data science student in Madrid. I build models, test them against honest baselines, and publish the answer — even when it's no.

Each project asks a question, sets the pass/fail bar before testing, tests against baselines, nulls and placebos, and publishes the verdict — even when it is “no edge”.
Can public attention data forecast a music company's quarterly revenue before it is reported, and if so, had the market already priced it in?

VerdictNo edge
Can the day-ahead vs real-time power price spread at ERCOT be predicted from publicly observable forecast errors?

VerdictStrong link, no predictive edge
Are chart patterns real? Build a market where every trader is a coin-flipper, and see whether support, resistance and channels still show up.

VerdictPatterns appear from pure noise
Trend rules seemed to time energy and construction stocks well. Is that timing edge real, or an artefact?

VerdictRejected: market exposure, not timing skill
Each project starts from one plain question that a test can answer.
Example: Sector timing
The pass/fail criteria are written down before any test is run, so the result cannot move them.
Example: Music Equities
A result only counts if it beats honest baselines, nulls and placebos.
Example: market-sim
The answer gets published as it came out, even when it is “no edge”.
Example: ERCOT DART spreads
Based in Madrid. Grew up between Mexico, Spain and the United States.
2024–present
Grew it to 1,000+ members, among IE's largest student-run organisations. Runs a transition programme for international students and regular cross-cultural events.
Jun–Aug 2024
Found a critical performance flaw in the employee-movement logging system, then built and rolled out the fix across multiple warehouses.
2024
Represented a member state at a Model UN conference in New York City.
2024–present
IE University, Madrid
Second year. Coursework in data science, analytics, statistics, time series analysis and business.
Graduated 2025
Puerto Vallarta, Mexico