I am a Systems Analyst collaborating in Data Science research, focused on designing efficient data workflows, supporting machine learning initiatives, and exploring scalable big data solutions.
My professional interests include Green AI, cloud data engineering, and sustainable approaches to analytics and machine learning. I enjoy working on projects that combine research, automation, and practical data-driven solutions.
- 🌱 Focused on Green AI and sustainable ML practices
- 🔬 Collaborating in Data Science research
- 🤝 Supporting machine learning model development
- ⚙️ Working with data pipelines, orchestration, and analytics tools
- ☁️ Interested in Azure-based data solutions
- 💬 Ask me about Data Science, ML, Big Data, and Data Engineering
- Data Engineering workflows
- Big Data processing
- Machine Learning experimentation
- Data pipeline orchestration
- Cloud-based analytics environments
- Research-oriented data solutions
- Programming: Python, OOP
- Cloud: Microsoft Azure
- Data Integration: Azure Data Factory (ADF)
- Orchestration: Apache Airflow
- Big Data: PySpark, Spark
- Platforms: Databricks, Jupyter Notebook, Google Colab
- Machine Learning: scikit-learn, TensorFlow
- Scientific Libraries: pandas, numpy, scipy, sympy, gudhi
- Visualization: matplotlib, seaborn
- Improving data workflows for analytics and research
- Collaborating on machine learning models
- Exploring Green AI principles in practical environments
- Expanding knowledge in Azure and cloud data engineering
- 📧 Email: andres.villamayor@gmail.com
- 💼 LinkedIn: Andy Villamayor