Hi, I'm
Actuary · UNAM
I trained as an actuary at UNAM, and since then I haven't stopped building: a transformer trained on Proust, data platforms on GCP, AI agents over Mexican regulation, production APIs. Every project starts with a question I can't answer yet and ends with something that works.
LISF and CUSF together span over a thousand articles, and interpreting them requires navigating interrelated provisions. This agent indexes the full text of both laws and returns contextualized answers with exact article references, with no hallucinated citations. It includes an interactive explorer to browse all 510 LISF articles and 1,833 CUSF provisions with cross-references as active links. Access code: actuaria-claude.
There is no open-source actuarial library built for Mexican regulation. suite_actuarial fills that gap: eight insurance domains (life, P&C, health, pensions, reserves, reinsurance, regulatory, configuration) with EMSSA-09 mortality tables, CNSF circulars, and SAT tax articles built into the design. It installs with pip, deploys with Docker, and exposes REST endpoints alongside a bilingual Next.js dashboard.
Airlines generate millions of records on flights, delays, revenue, and fleet utilization. Analyzing that data requires choosing the right database for each question. This project takes 5.74M real airline operation records, analyzes them in PostgreSQL to understand how to optimize queries from the engine level, migrates them to BigQuery to compare both database paradigms, and presents the findings in an interactive dashboard: route map, delay patterns, revenue concentration, and fleet performance.
If you work with Fed rates, Banxico exchange rates, or World Bank indicators, you already consume APIs without knowing it. This interactive platform teaches what happens between your request and your data: latency, errors, authentication, caching. A playground with live data, labs for breaking things on purpose, and what-if scenarios on mortality and economic data.
Valuing life insurance reserves requires connecting mortality projection, product design, and regulatory capital in one continuous flow. SIMA handles it end-to-end: Lee-Carter mortality projection, commutation tables, reserve valuation for three products, and RCS capital requirements with stress testing under LISF. Deployed on Google Cloud.
Pricing major medical insurance without real claims data is guesswork. This project processes 5.1M claims and 95.9M insured-years from CNSF open data (2020-2024), classifies them into three hospitalization levels with AI, and calculates the net premium via frequency-severity adjusted for medical inflation. The output: an interactive tariff calculator on Vercel.
Interactive artifacts and technical notes on actuarial science, finance, and statistics.
The reference I built to prepare for Exam P. Covers general probability, random variables, and multivariate distributions, each topic with actuarial intuition, not just formulas. Includes solved problems with analysis of why the distractors mislead.
One document tying four worlds together: how to price what nobody knows the value of (exotic derivatives), how to read the future in Treasury yield curves, how two firms can swap risk through an IRS, and how to build a portfolio that doesn't rely on luck. All solved in Python and bound by the same no-arbitrage logic. Integrative exam for Quantitative Methods in Finance, UNAM.
Same question, two ways of thinking: the classical approach says there's not enough evidence, the Bayesian one says B is almost certainly better. This summary explores what happens when you stop relying solely on the p-value and start thinking in terms of expected utility to decide. Personal statistical exploration project. Available in both languages.
National Autonomous University of Mexico (UNAM)
Faculty of Sciences · 2021 – 2025
100% credits completed, degree in progress
Send me a message