Resume

Experience

1. 2026 — Now · Menlo Park, CA

   Meta

   Data Scientist

   • —Lead causal measurement for ads ranking launches across several teams; set the readout standard used for ship / no-ship decisions.
   • —Led the analysis behind deprecating legacy models across 11 teams, freeing significant compute with no revenue regression.
   • —Built offline surrogate metrics that predict online experiment results, so models can iterate faster.
   • —Defined the framework for measuring reliability across Meta's foundation models.

2. 2025 · Los Angeles, CA

   BCG X

   Data Scientist (Intern, offered full-time)

   • —Built assortment optimization with mixed-integer and linear programming, modeling demand elasticities: +3.5% revenue.
   • —Measured a 10-week randomized field experiment that validated the optimization engine.

3. 2023 — 2024 · Santiago, Chile

   Santander

   Senior Data Scientist

   • —Built an uplift-based acceptance ranking model, validated with A/B tests: 3× conversion.
   • —Used difference-in-differences to evaluate non-randomized risk policy rollouts.
   • —Segmented delinquent accounts to target collections: +20% recoveries.

4. 2022 — 2023 · Santiago, Chile

   EY

   Data Analyst

   • —Built data pipelines for sector economic forecasting and executive dashboards.
   • —Built Monte Carlo frameworks for derivative pricing and risk exposure.
   • —Automated econometric reporting, saving 120+ hours a year.

5. 2020 — 2022 · Valparaíso, Chile

   Center for Economic & Policy Research

   Researcher

   • —Automated scraping and ETL for macroeconomic data, saving about 200 hours a week.
   • —Built the econometric models behind published policy research.

Education