Welcome to my GitHub profile! I'm Eduardo, a B.Sc. Physics and certified Data Scientist. My academic and professional journey has equipped me with a solid foundation in computational physics, deep learning, and data science.

• B.Sc. Physics - Autonomous University of Querétaro (UAQ), México (2019-2024)
  • Relevant courses: Advanced Quantum Mechanics, Programming I and II, Numerical Analysis, Analysis of Probabilistic Systems, Dynamical Systems I and II and Artificial Intelligence.

• IBM Data Science Professional Certificate - ID:
  • Comprehensive mastery of data science, Python and R programming, application of methodologies (CRISP-DM), hands-on project experience, SQL proficiency, data cleaning and visualization skills, implementation and evaluation of machine learning models, and advanced proficiency in data visualization techniques.

• Deep Learning for Atmospheric Pollutant Forecasting - Developed a transformer-based neural network to forecast PMCO levels in Mexico City, showing significant improvement over traditional models.
• Satellite Systems Developer - K'OTO Project - Developed Linux server and data processing algorithms for the K'OTO Nanosatellite project.

• Languages: Python, SQL, R, SQLite3
• Tehnologies: Linux, Power BI, Excel, LookerStudio, \LaTeX.
• Other Programing Tools
  • Deep learning frameworks: Keras, Tensorflow, Pytorch.
  • Python: sci-kit, pandas, numpy, matplotlib, seaborn.
  • R: dplyr, ggplot, tidyr, shiny, plumber.
  • SQL: Advanced querying (joins, subqueries, functions), data manipulation (insert, update, delete), SQLite.

Here you'll find a portfolio of my projects, showcasing my skills in machine learning, deep learning, and AI. These projects illustrate my ability to apply theoretical knowledge to practical challenges, creating innovative solutions that leverage the latest advancements in technology.

• Deep Learning

  • Deep Learning for Atmospheric Pollutant: Forecasting (Python)

• Data Science

  • Data Science Capstone for Winning Space Race (Python/SQL/Power BI)

• Data Analysis

  • Data Analysis for Historical Automobile Sales: Visualizations (Python)
  • Data Analysis for Insurance Cost: Predictions (Python)
  • Webscraping for Stock Data (Python)

• LinkedIn: luis-eduardo-mauricio-alvarez
• Email: [email protected]

I am always open to collaborating on projects and innovative ideas. Feel free to reach out if you're interested in working together or have any questions!

Let's connect and explore the endless possibilities that data and AI have to offer!