Welcome to my GitHub! I’m a Data Science undergrad passionate about tech, finance,maths and statistics. What I enjoy most from data science is diving deep into analyzing data and visualizing insights—especially with historical data.
I’m a big fan of using Machine Learning and Time Series to uncover patterns, fueled by my avid interest in economics, investing, and trading. I love tackling complex problems and building data-driven projects—stick around to exploit my work in coding and forecasting. Beyond data, I’m a sports enthusiast, football, american football, and basketball are my favorites. I’m often at the gym working out, running, swimming, or enjoying long bike rides. When I am not doing numbers or exercising, you’ll find me either watching sport events or reading, especially history book.
Here’s what I use to get things done:
Coding:
- 🐍 Python
- 📊 R
- 🗃️ SQL
- 💻 C++
Tools:
- Power BI
- Knime
- Jupyter Notebook
- Microsoft 365(Excel, Word, Access, Power Automate, Power Apps)
- Google Drive
Audi AG
Praktikum Digitalisierung Supply Chain International
March 2025–
- Development and maintenance of Power BI dashboards for data analysis and decision support.
- Design of data workflows using KNIME, Oracle APEX, and SQL to improve data processing.
- Optimization of global logistics processes through Microsoft 365 Apps (Power Automate, SharePoint, Power Apps).
-
B.Sc. Data Science
Katholische Universität Eichstätt-Ingolstadt
2022–2025 (Expected) -
B.S. Computer Science
Instituto Tecnológico y de Estudios Superiores de Monterrey
2021–2022
- Microsoft Power BI Data Analyst - Microsoft, in process
- Analyze Data with SQL - Codecademy, 2025
- Data Structures and Algorithms - Codecademy, 2024
- Python Specialization – University of Michigan, 2024
- Intro to Data Science: Statistical Programming with R – UNAM, 2022
- MATLAB Onramp |Image Processing – MATLAB, 2022
Time Series Forecasting Hybrid Model
Python Time Series for blending statistical models, heuristics, and neural networks for predictions
Machine Learning Stellar Classification
Python Machine Learning project, use of classifications ML models for classification of Stellar Objects
Air Quality Stats in Mexico
Analyze Mexico's air quality data using Excel and Minitab for forecasting.
- hackaTUM – Technical University of Munich (2023 & 2024)
- AIESEC Team Leader (iGV) – Jan-July 2022
- Debate Tournament – Tec de Monterrey, June 2022
- Spanish: Native
- English: C1 (Fluent)
- German: C1 (in progress) (B2 Certificated!)
- Solving problems with a sharp eye
- Working with others & sharing ideas
- Thinking hard & learning fast
- LinkedIn: Faustino Vazquez Gabino
- GitHub: faustvg
- Email: faustinovazquezgabino@gmail.com
- Strava: faustvg
Explore my repos and let’s collab if you’re up for it, contact me for any question :)