About Me

I've always been interested in how information is structured — whether through the rules of a language or the logic of an equation. My background reflects that: I hold a B.A. in Linguistics (UAM) and I am currently pursuing a B.Sc. in Applied Mathematics at UNAM.

I work in Business Intelligence and Data Analysis, mostly with Python, SQL, and Power BI. In recent projects I've also used Machine Learning for pattern detection and anomaly analysis.

A good analysis doesn't end with the code or the dashboard. It ends when someone else can understand it, question it, and use it.

Beyond the Data

Music & Books: I play bass and piano, mostly with friends. Outside of that I read a lot — I'm drawn to Latin American authors like Borges and Cortázar.

Luis Moto - Linguistics and Applied Mathematics

Education

A dual background in Applied Mathematics and Linguistics.

Mathematics Background

B.S. in Applied Mathematics

National Autonomous University of Mexico (UNAM)

2023 — Present

Focus on modeling real-world problems through mathematical and computational tools.

Linguistics Background

B.A. in Linguistics

Autonomous Metropolitan University (UAM)

Graduate

Formal analysis of language as a structured system, covering syntax, semantics, and NLP tasks.

Certifications & Continuous Learning

Specialized programs focused on methodology, research, and advanced analytical tools.

IBM Data Science

Professional Certificate

Mastery of the full data science lifecycle: from methodology and SQL/Python tools to data visualization and predictive project development.

Data Science

Neurolinguistics

Saint Petersburg University

Analysis of neurobiological language mechanisms, focusing on neurophysiological acquisition and speech processing research methods.

Neurolinguistics

Scientific Writing

Faculty of Sciences, UNAM

Development of logical rigor and structural clarity in technical communication for documenting complex scientific research.

Scientific Writing

Mathematics Master

CONAMAT Diploma

Intensive training in advanced algebraic structures, calculus, and analytic geometry for complex problem-solving.

Mathematics

Professional Experience

Work across data analysis, software development, and research.

Research & VR Development Intern

Advanced Optics Laboratory (UNAM) Mar. 2026 – Present
VR Development

Working on a VR optics simulator that replicates classical and quantum experiments in an interactive environment.

  • Built a hybrid architecture (Unity/Python).
  • Implemented Monte Carlo simulations.

AI Trainer – Language Models

Outlier.org (Remote) Mar. 2023 – Feb. 2025
AI Trainer

Contributed to the training and evaluation of large language models.

  • Designed prompts for mathematical and linguistic tasks.
  • Evaluated model outputs for logical consistency.

Clinical Research Intern

Hospital Manuel Gea González Jun. 2023 – Jan. 2024
Clinical Research

Supported clinical research through data management and analysis.

  • Maintained research databases under ethical standards.
  • Ran statistical analyses to inform decisions.

Data Analyst

Zensitud – Online Psychology Platform Jan. 2021 – Apr. 2022
Data Analytics

Analyzed user behavior to support business decisions.

  • Worked with data from 2,000+ users using Python and SQL.
  • Built Power BI dashboards; 10% increase in revenue.

Additional Experience

  • Chess Coach (Adult Training) 2025 – Present
    Structured sessions focused on pattern recognition, strategic thinking, and decision-making under time pressure.
  • Freelance Academic Editor 2020 – 2023
    Edited research papers in English and Spanish, focusing on clarity, structure, and logical flow.
  • Chess Teaching Assistant (UNAM) 2019 – 2020
    Worked with competitive teams, breaking down complex positions into structured decision-making processes.
  • Contact Center Agent (Telvista) 2016 – 2017
    Handled bilingual cases for Aeroméxico, resolving complex issues in real time.

Featured Projects

Superstore Analytics

Superstore BI & Analytics

End-to-end data pipeline using Python and Power BI.

Chess Suite

Modular Chess Training Suite

Python application with MVC architecture and engine integration.

Neural Threat Analyzer

Neural Threat Analyzer

Hybrid AI engine designed to detect modern Phishing and SQL Injection attacks.

Technical Skills

Data Analysis & BI

Tools: Python (Pandas, NumPy, Matplotlib), SQL, Power BI.

What I do: Analyze user behavior to identify growth opportunities through actionable dashboards.

Data Analysis

Machine Learning & AI

Tools: Scikit-learn, Prompt Engineering, LLM Evaluation.

What I do: Build models for anomaly detection and improve reliability in AI-generated outputs.

Machine Learning

Scientific Computing

Tools: Python, Unity (C#), JSON pipelines.

What I do: Design hybrid systems that combine real-time simulation with numerical computation.

Scientific Computing

Applied Mathematics

Focus: Probability, statistical modeling, and calculus.

What I do: Apply mathematical modeling to analyze uncertainty and simulate complex systems.

Applied Mathematics