CV

  1. Work Experience
  2. Education
  3. Technical Skills
  4. Awards

Here is a copy of my resume.

Work Experience

  • Data Engineer, J.D. Power, Mexico City (Remote). March 2024 – Present.
  • Machine Learning Research Intern, National Research Council Canada, Toronto. May 2023 – December 2023.
  • Data Scientist, Grupo Salinas, Mexico City. November 2021 – July 2022.

Education

  • MSc in Applied Computing, University of Toronto, Department of Computer Science (GPA: 3.93/4). September 2022 – June 2024
  • BSc in Data Science, National Autonomous University of Mexico (UNAM), Research Institute in Applied Mathematics (GPA: 9.60/10). August 2019 – June 2021
  • BSc in Physics, National Autonomous University of Mexico (UNAM), Faculty of Science (GPA: 9.54/10). August 2015 – June 2020

Technical Skills

  • Certifications:
    • AWS Certified Machine Learning – Specialty (MLS-C01)
  • Programming Languages:
    • Python, Julia, R, Fortran, SQL
  • Machine & Deep Learning:
    • Scikit-learn, XGBoost, PyTorch, Keras, TensorFlow, PySpark MLlib
  • Data Analysis & Visualization:
    • NumPy, SciPy, Pandas, Matplotlib, Seaborn, Bokeh, Plotly
  • Natural Language Processing (NLP):
    • NLTK, spaCy, Hugging Face, LangChain
  • Cloud Services:
    • AWS, Azure
  • Databases:
    • PostgreSQL, Redshift, MongoDB, Redis
  • Miscellaneous:
    • Linux, Git, LaTeX, Slurm, REST APIs, Scrum
  • Languages:
    • Spanish (Native), English (Proficient), French (Intermediate)

Awards

  • Vector Scholarship in Artificial Intelligence, 2022 – 2023.
  • Support Program for Research and Technological Innovation Projects (PAPIIT, Mexico), 2019.