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Alejandro Robles

Data Analyst / Engineering Physicist / AI Trainer

About Me

I graduated in Engineering Physics from the Metropolitan Autonomous University (UAM), and hold diplomas in Data Analytics, Business Intelligence, and Data Science. These credentials have given me advanced skills in analyzing and interpreting data to gain valuable insights.


As a data analyst, I specialize in efficiency, benchmarking, and desk research. I have a strong background in process analysis, gathering relevant data, and providing insights into industrial process efficiency, time reduction, and competitive landscapes.


As an AI trainer, I worked with LLMs applying advanced mathematics and physics to develop gold-standard solutions, ensuring ethical AI practices.


I’ve also completed several astronomy courses. Astronomy is my favorite hobbie!

Experience

Invisible

Advanced AI Trainer

  • Created detailed LaTeX-formatted solution guides that serve as gold-standard benchmarks, and continuously monitor model outputs to uncover edge cases, recommend refinements to training data, and document improvements in performance metrics over successive training cycles.
  • Lead the end-to-end curation and annotation of large-scale statistical datasets to fuel machine-learning models.
  • Established and enforced ethical AI guidelines centered on truthfulness and harmlessness, reducing biases and inaccuracies to deliver consistently reliable and secure conversational experiences.

Scale AI

Advanced AI Trainer STEM

  • Participated in important projects related to Math and STEM for Meta generative AI.
  • Wrote ideal responses in alignment with specific guidelines, setting benchmarks for AI interactions.
  • Conducted evaluations of AI-generated responses against established criteria in mathematical, physical, statistical, and chemical models.
  • Implemented ethical AI practices, focusing on harmlessness and truthfulness, to mitigate biases and inaccuracies, ensuring reliable and safe AI conversations.

BairesDev

Data Quality Analyst

  • Identified data discrepancies and interpreted their impact on business operations, and collaborated with stakeholders to implement validation rules that reduced error rates and accelerated reporting cycles.
  • Designed and sustained sophisticated data analysis pipelines utilizing SQL and Python, enhancing data-driven decision-making and operational efficiency.
  • Built interactive dashboards that tracked key performance indicators, empowered stakeholders to explore trends on demand.

Education

Universidad Autónoma Metropolitana (UAM)

Sept 2019 - Dic 2023

Bachelor of Science in Engineering Physics

Relevant courses: Linear Algebra, Probability, Statistics, Calculus, Analysis

Fundación Carlos Slim

Sept 2016 - Sept 2017

Technical Diploma in Business Intelligence

Link to certificate

IBM - Coursera

Jan 2023

IBM Data Science

Link to certificate

Google - Coursera

Sept 2022

Google Data Analytics

Link to certificate

Skills

Projects

C02 Emissions

An exploratory data analysis of the CO2 emissions by country. It contains graphs on total emissions as well as from coal, oil, gas, cement production and flaring, and other sources.

View Project