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sergiomath/README.md

Hi there 👋

P&C Actuary at SBS Seguros Colombia Pricing, IBNR reserving and ML applied to insurance · SOA track Universidad Nacional de Colombia (UNAL) — Statistics / Actuarial Science

🎯 What I work on

📊 P&C Pricing — GLM (Poisson / Gamma / Tweedie) and ML models for auto and other lines.

📐 Technical reserves (IBNR) — Chain-Ladder, Bornhuetter-Ferguson, Mack and ML / individual-claim approaches.

🤖 AI applied to insurance — claims classification, frequency / severity models, process automation.

📈 Actuarial theory — credibility, Markov chains, reinsurance.

🛠️ Stack

R · Python · SAS · SQL · Jupyter · LaTeX · Git

Libraries: scikit-learn · xgboost · statsmodels · ChainLadder (R & Python) · glmnet · tidyverse

📌 Featured projects

See the pinned repositories above ⬆️

📫 Get in touch

💼 LinkedIn · 📍 Bogotá, Colombia

"AI will not replace actuaries — it will replace actuaries who don't use AI."

Pinned Loading

  1. Cadenas_de_Markov Cadenas_de_Markov Public

    Markov chains applied to actuarial processes (claims state transitions, multi-state models). LaTeX writeup.

    TeX

  2. concurso_cas concurso_cas Public

    CAS-style competition project: actuarial present-value calculator and dataset analysis in Python.

    Python

  3. Ejercicio-Reaseguro Ejercicio-Reaseguro Public

    Reinsurance exercise: pricing and ceded-claims analysis with Jupyter notebooks.

    Jupyter Notebook

  4. pricing_sbs pricing_sbs Public

    Actuarial pricing demo with Jupyter notebooks — rate-making approaches for P&C insurance.

    Jupyter Notebook

  5. tarea1_cadenas_markov tarea1_cadenas_markov Public

    Hands-on exercises in Markov chains: state transitions, stationary distributions, simulation in Jupyter.

    Jupyter Notebook

  6. timeSeries timeSeries Public

    Time-series projects: forecasting, decomposition and modeling for actuarial / insurance contexts.