- Professional in Data Science with a background in Mechatronics Engineering and currently a Master's student in Quantum Computing. I have strong foundations in mathematics and statistics, and over 10 years of experience in the automotive industry. Since 2021, I have been immersed in the data field, delivering Big Data, Analytics, and AI solutions, transforming data into valuable business insights.
My work is organized into two main repositories:
- 📘 Study-Guide: curated resources and notes from my ongoing learning journey.
- 📂 Portfolio-Guide: real-world projects and case studies applying data science, machine learning, and AI.
- Languages: Python, SQL, PySpark
- Frameworks: scikit-learn, TensorFlow, Keras, Pandas, NumPy
- Cloud: Microsoft Azure (Professional Certified) Google Cloud Platform
- Visualization: Matplotlib, Seaborn, Plotly, Power BI, Looker Studio
- Databases: PostgreSQL, Google BigQuery, Databricks Lakehouse
- Other: Git, Linux, Docker, CI/CD (basic)