I'm Virginia, a data scientist with a background in chemical engineering — turning data into insights, models, and beautiful dashboards is my thing.
- 🐍 Python enthusiast with a focus on data-driven problem solving
- 🤖 Currently leveling up in machine learning and deep learning — always learning, always building
- 🎨 Big on data visualization — passionate about creating visually engaging content
- 📚 I document everything — because good science (and good code) should be understandable and reusable
Here are the tools and libraries I use regularly to explore data, build models, and tell compelling stories:
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Languages & Frameworks
Python·Scikit-learn·Keras·TensorFlow·NumPy·Pandas -
Data Visualization
Matplotlib·Seaborn·Power BI·Dashboards -
Databases & Querying
SQL·MySQL -
Tools & Environment
Jupyter Notebooks·VS Code·Git·GitHub
Welcome to my digital lab! Here’s a look at some of the projects where I explore, model, and visualize data:
Deep dives into datasets to uncover patterns, trends, and outliers.
Projects that involve building, tuning, and evaluating ML models using real-world data.
Early-stage experiments with neural networks, computer vision, and more to come.
Coming soon
Clean and efficient queries to power data pipelines and support analytics.
Power BI projects that bring data to life through dynamic, interactive dashboards.
Automated scripts to clean data, generate reports, or streamline repetitive workflows.
I’m always working on something new — follow along as I keep learning, building, and sharing projects that blend code, design, and storytelling.
🎯 Let’s connect! If you’re into data, ML, or just cool visualizations — I’d love to hear from you.