Posts by Collection
portfolio
- Only using
NumPy, I developed a Quadratic Discriminant Analysis (QDA) classifier which identified handwritten digitis with 82% accuracy
- Utilizied
Python, Pandas, and Sklearn to build a classifier which identifies spam emails with 90% accuracy
- Only using
NumPy, I developed a k-Nearest Neighbors classifier to identify movies as Thriller / Comedy with 80% accuracy
- Utilized Object Oriented Programming to implement a Plants vs. Zombies inspired tower-defense game called Ants vs. Some Bees
- During the Fall 2024 semester, I taught DATA 198: Introduction to Real World Data Science and utilized Jekyll, Github Pages,
HTML, CSS, Javascript, and Ruby to develop the course website
- Developed a linear regression model to predict housing prices in Cook County, Illinois
publications
talks
teaching
- Guiding and supporting 20+ students toward a deeper understanding of foundational computer science, data science, and statistical concepts such as Exploratory Data Analysis, confidence intervals, hypothesis testing, and k-nearest neighbors classification
- Led my students to achieve average exam scores in the 90th percentile, as well as cumulative course grades in the 93rd percentile, highest among all student instructors
- Collaborated with the Achieve Program to mentor 10 interns through individual data science projects on their research findings
- Course Materials for Fall 2024 can be found here and Student Evaluations can be found here!
- Created the course website dssdecal.org by utilizing Jekyll, Ruby, and Github Actions, and currently developing a 12-chapter introductory data science textbook at dssdecal.org/textbook
