I work on pricing, promotions and commercial analytics for marketplaces and retail across Mexico, Colombia and Brazil. Most of it comes down to keeping margin from leaking: setting prices against the market, catching purchase orders and promotions that lose money, and getting brands to fund more of the discount. I write my own SQL and Python, and I build AI agents so the team can spend its time on decisions instead of spreadsheets.
Start here: pricing-lab, a runnable toolkit with the pricing and margin controls I use, rebuilt on a synthetic market: a repricing engine, margin-drop and cost-anomaly alerts, a promotion stacking audit, a vendor-funding plan and a CUPED price-test readout.
What I work on
- Pricing strategy, price index and competitive benchmarking
- Margin control: purchase-order margin, cost anomalies, alerting
- Promotions, discount depth and vendor-funded investment
- A/B testing and experiment design
- AI agents for analytics teams (Claude Code, Codex, GitHub Copilot)
Tools: SQL (Snowflake), Python (pandas), Power BI, Tableau, Git
Older repos are coursework from my Master's in Data Science for Business (ENAE, 2022–2023).