Caffeine &
Decision Fatigue
Exploring how caffeine, sleep, and stress relate to decision fatigue across 25,000 records—and why context matters when interpreting a relationship.
I’m Kadin—a data science student, athlete, and curious problem solver. I turn the things I care about into questions I can explore with data.
There’s a story
in the details.
Caffeine, gaming, and exercise.
Different questions. The same curiosity.
Exploring how caffeine, sleep, and stress relate to decision fatigue across 25,000 records—and why context matters when interpreting a relationship.
A deeper look at my friend’s player-account data through the Clash Royale API. Turning a game I enjoy into a hands-on data project.
Comparing calorie expenditure across novice and experienced male exercisers, with resampling methods to understand uncertainty.
Python, R, SQL, pandas,
NumPy, Excel
matplotlib, seaborn,
tidyverse, ggplot2
Regression, hypothesis testing,
Jupyter, R Markdown
I like understanding how things work. I like helping people understand them, too.
I’m a senior at Eastern University studying Data Science with an Accounting minor in the Templeton Honors College. My projects start with real interests: the games I play, the way people make decisions, and the questions that come from training.
Outside my coursework, I’m a defensive specialist on the men’s volleyball team, a Python teaching assistant, and a resident assistant. Those roles keep me practicing another useful skill: making complicated things easier to talk through.
Defensive specialist · NCAA Division III
Teaching assistant · Python Programming
Resident assistant · Mentoring & community