I Used Myself as a Test Subject
A semester-long self-experiment using behavioral analytics, structured reflection, and a personal dashboard to study how learning systems affect retention and performance.
Blog
Long-form writing on data analysis, machine learning, learning systems, and product thinking. Each post walks through reasoning, trade-offs, and implementation.
Do Reddit Sentiments Reflect Economic Reality?
Assessing how sentiment signals behave under different modeling and feature assumptions.
Data Wrangling Is the Best Way to Learn Python Foundations
How working with messy data builds mental models for structure, immutability, alignment, and vectorization—teaching how Python behaves beyond syntax.
Understanding Predictive Performance Beyond Linear Models
When flexible models help—and when they hurt—predictive performance in controlled simulations.
Designing an Interactive EDA Workflow: Bridging Analysis and Presentation
A process-driven exploration of social media and productivity, using exploratory data analysis as a reasoning framework and translating insights from Jupyter into an interactive Flask-based experience.
Building Game Insights: Expanding From Full-Stack to Data-Driven Analytics
I started as a full-stack web builder, but Bet Stats pushed me to widen my skill set into the data side— standing up a Python analytics layer (Pandas/NumPy/Matplotlib), generating performance visuals, and wiring it back into my PHP site to turn raw gameplay into readable insights.