ABOUT NATALIE
Data makes me curious.
I've always liked questions with more than one layer.
Why did something happen? What patterns are hiding underneath it? How can we turn those patterns into a decision someone can actually use?
That curiosity is what pulled me toward data science. At Baylor University, I studied Data Science alongside Business Administration, giving me the opportunity to explore both the technical side of data and the decisions that data ultimately supports.
Since then, I've worked across machine learning, deep learning, statistical analysis, cybersecurity, financial modeling, visualization and collaborative data projects.
I especially enjoy taking complicated information and turning it into something clearer — whether that's a model, a visualization, an analysis, a process, or a story.
TECH TOOLKIT
Things I know how to use.
Languages
Python · R · SQL · HTML · CSS
Machine Learning
XGBoost · CNN · LSTM · GRU · Transformers · K-Means · PCA
Data
Data Cleaning · Statistical Analysis · Visualization · Feature Engineering
Tools
Excel · Jupyter Notebook · RStudio · GitHub · Google Colab
OFF SCREEN
When I'm not looking at data...
Steps
There's a very good chance I'm checking whether I've hit my daily step goal yet.
Music
Dancing, singing and occasionally sitting down at the piano.
Journaling
Thoughts, observations, plans and probably a list or two.
Museums
One of my favorite ways to lose track of time.
Cooking
Especially when it involves trying something I've never made before.
Curiosity
My favorite rabbit holes usually begin with, “Wait... why does that happen?”