My Learning Path

A timeline of my academic background in Computer Science and my self-taught journey into Data Science and AI.

Certifications

Google Developers

Google Developers

Data Science & Machine Learning

Exploring ML models and data science through Google for Developers towards DataScience.

TensorFlow Google Colab Algorithm bases IA Development OpenCode
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Bachelor's Degree

Computer Science Engineering

2019 - 2024

Formal education covering algorithms, data structures, software engineering, and system architecture. Built a strong foundation in programming and problem-solving.

Algorithms Data Structures OOP Databases Software Engineering System Architecture
Show Thesis

Data Science Initiation

Self-Taught

2023 - Present

Started a deep dive into Data Science, learning Python libraries like Pandas, NumPy, and Matplotlib through online courses and documentation.

Python Pandas NumPy Matplotlib Seaborn Jupyter SQL

Applied Projects

Practical Experience

2024

Developed practical projects such as Logistic Prediction for "Lo bueno con lo bueno" food company, to apply theoretical knowledge in real-world scenarios.

Data Cleaning EDA Regression Modeling Power BI Scikit-learn Business Presentation
View Logistic Prediction Project

Advanced AI & Automation

Continuous Learning

Current Focus

Exploring advanced topics in Artificial Intelligence, including Large Language Models (LLMs), and automated data pipelines.

LLMs Prompt Engineering API Integration Automation Pipelines Deployment Basics

What I Know

Computer Science Engineer with a focus in Data Science. Expert in the full data lifecycle: from processing and modeling with Python/SQL to deploying AI-driven automation. Focused on delivering high-impact, scalable solutions through clean code and data-driven insights.

Python Python
SQL SQL
Data Analysis
Power BI Power BI