Hi, I'm

Andrés González Ortega

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.

View projects Download CV

BlogJul 12

Configuring Your Own Domain: How gonor.me Became My Place on the InternetYou buy a domain, open the DNS panel, and find an empty table with no hint of what goes where. This is a plain, honest walkthrough of pointing a custom domain at GitHub Pages through Cloudflare, written by someone doing it for only the second time, with every wrong turn left in. By the end, the handful of moving pieces make enough sense to reuse on your own domain.

BlogMay 3

Why every analyst should understand APIs (not just developers)If you work with Fed rates, Banxico exchange rates, or World Bank life expectancy, you already consume APIs. Understanding what happens between your request and your data makes you a better analyst: you can diagnose when something fails, optimize when something is slow, and build when you need something custom. This project demonstrates it with real data and interactive labs.

ArtifactApr 19

Greedy Split SearchA step-by-step walkthrough of how a decision tree picks where to split a node. With five observations and four candidate thresholds, the artifact traces the RSS computation for each split and lets the reader see why greedy search gains in clarity what it loses in global optimality. Interactive animation and live computation, bilingual.

Featured Projects

Sort:

6/28

Data EngineeringCloudflare

Flight Analytics: Aviation Data and Dashboards

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.

PostgreSQLBigQueryPythonDocker+6

view repository

see details

view live

Data EngineeringCloudflare

APIs for Analysts

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.

Next.jsTypeScriptFREDBanxico+2

Actuarial Regulation Assistant

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.

Claude SDKFastAPILISFCUSF+2

view repository

see details

ActuarialGCP

Mexican Actuarial Suite

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.

PythonPydanticNext.jsFastAPI+5

SIMA: Integrated Actuarial Modeling System

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.

PythonFastAPIReactLee-Carter+4

GMM Explorer: Major Medical Expenses

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.

Next.jsPythonActuarialGMM+5

view repository

see details

view live

Featured artifacts

Interactive artifacts and technical notes on actuarial science, finance, and statistics.

Actuarial Science & Insurance

SOA Exam P : Initial Study Reference

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.

SOAExam PProbability

Quantitative Finance

Black-Scholes, FRA & IRS

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.

Black-ScholesFRA/IRSCAPM

Statistics & Probability

A/B Testing: Bayesian vs Frequentist

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.

StatisticsBayesPython

See all artifacts