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WilsonLombardo/README.md

Hi, I'm Wilson Andrés 👋

Freelance Mathematician & Data Scientist

Technical Skills

  • Languages & Environments: Python, R, SQL, MATLAB, Java, Octave, Vensim, LaTeX, Anaconda.
  • Machine Learning & Data Science: MLOps, Bayesian Optimization (Optuna), Random Forest, Predictive Modeling, Statistical Validation, Local AI Deployment (LM Studio), AWS.
  • Mathematical Modeling & Domain Expertise: Game Mathematics (PAR Sheets, EVT, Volatility Analysis), Advanced Probability (MS-HMM, Lévy flights, Anomalous Dispersion), Yield Management, Bid Pricing Algorithms.
  • Coursework & Training: Postgraduate courses in Machine Learning and Statistics (R), Introduction to Machine Learning with Python, Data Processing with Python, Full Stack Developer Jr.

Imagen de Portada

🎓 Education

  • PhD Student in Mathematics / Mathematical Engineering | Universidad Nacional del Litoral (UNL), Argentina
  • B.S., Applied Mathematics | Facultad de Ingeniería Química, Universidad Nacional del Litoral (UNL), Argentina
  • B.S., Mathematics | Universidad Nacional del Chaco Austral, Argentina
  • Postgraduate Program in Data Science and Machine Learning (2-year program) | Universidad Nacional de Salta

💼 Work Experience

Freelance Mathematician & Data Scientist (Present)

  • Developing data-driven growth insights and business optimization strategies utilizing public data.
  • Designing yield management solutions and analyzing transit displacement effects using Random Forest and Bid Pricing algorithms.

Game Mathematician (November 2025 - Present)

  • Conducting theoretical analysis of game volatility and developing comprehensive PAR sheets.
  • Applying Extreme Value Theory (EVT) and Generalized Extreme Value (GEV) distributions to gaming probability models.
  • Focusing on pure theoretical mathematical derivation, including the Law of Total Variance and variance decomposition.

PhD Fellow @ IMAL-CONICET (April 2021 - Present)

  • Researching advanced probability modeling, including Markov Switching Hidden Markov Models (MS-HMM) and anomalous dispersion.
  • Engaging in academic publishing and preparing formal theorems for peer-reviewed research.
  • Bridging advanced theoretical mathematics with practical engineering and statistical applications.

Administrative Secretary @ Cono Sur (Bus Company) (December 2019 - March 2020)

  • Financial management, documentation control, and operational coordination.

Professor & Administrative Secretary @ Ministerio de Educación de la Nación Argentina (March 2019 - November 2023)

  • Educational instruction and administrative management across Chaco, Neuquén, and Santa Fe jurisdictions.

Pinned Loading

  1. blackjack21 blackjack21 Public

    Forked from MaeWolff/blackjack

    Blackjack - Game

    TypeScript

  2. casino casino Public

    Forked from felix-murcia/casino

    Casino online con acceso Oauth2 desarrollado usando Spring Boot Security

    Java

  3. Covid-19-detection-using-Machine-Learning Covid-19-detection-using-Machine-Learning Public

    Forked from Bhuvaneswar005/Covid-19-detection-using-Machine-Learning

    This project aims to compare different machine learning algorithms like K-nearest neighbors, Random forest and Naive Bayes with respect to their accuracies and then use the best one among them to d…

    Jupyter Notebook

  4. maquinatragamonedas2.0 maquinatragamonedas2.0 Public

    Maquina con RTP del 94% para apuestas fijas de 1 unidad

    Python

  5. llm_math_stress_test llm_math_stress_test Public

    Stress-testing frontier LLMs on conditional probability and regime-switching models using the Law of Total Variance and SymPy.

    Python

  6. Modelo-SEIQR-Estocastico-para-COVID-19-en-Argentina Modelo-SEIQR-Estocastico-para-COVID-19-en-Argentina Public

    Python implementation of the two-scale stochastic SEIQR epidemiological model for COVID-19 in Argentina based on Barreiro et al. (Scientific Reports, 2021).

    Jupyter Notebook