I'm a passionate Computer Science major with a minor in the Mathematics of Finance,
curious about how data and algorithms can drive better decision-making—especially in
the world of finance. I enjoy working on projects that have real-world relevance and
lead to insights that matter. I grew up coding and have fond memories of building games
on Scratch as a little girl. Since then, my curiosity about the many ways technology
can be applied has only grown.
Outside of tech, I love trying new recipes, watching Doctor Who, or getting
lost in a good book.
Trained a Multiple Linear Regression model on the 2005-2015 Graduation Rates Public - School dataset from NYC Open Data to predict Total Grad percentages.
Programming Languages: C/C++, Java, Python, SQL (MySQL), Bash
Tools: Git, Jupyter Notebook, Google Colab, Visual Studio Code, PyCharm, IntelliJ, MS Excel, Anaconda
Libraries: Scikit-Learn, pandas, NumPy, Matplotlib, Seaborn