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Blog Post number 4
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Linear + Quadratic Discriminant Analysis From Sratch
- Only using
NumPy, I developed a Quadratic Discriminant Analysis (QDA) classifier which identified handwritten digitis with 82% accuracy
Spam Email Classification
- Utilizied
Python,Pandas, andSklearnto build a classifier which identifies spam emails with 90% accuracy
k-Nearest Neighbors From Scratch
- Only using
NumPy, I developed a k-Nearest Neighbors classifier to identify movies as Thriller / Comedy with 80% accuracy
Ants vs. Some Bees
- Utilized Object Oriented Programming to implement a Plants vs. Zombies inspired tower-defense game called Ants vs. Some Bees
dssdecal.org
- During the Fall 2024 semester, I taught DATA 198: Introduction to Real World Data Science and utilized Jekyll, Github Pages,
HTML,CSS,Javascript, andRubyto develop the course website
Housing Price Prediction
- Developed a linear regression model to predict housing prices in Cook County, Illinois
publications
talks
teaching
Course Tutor, DATA c8: Foundations of Data Science (Fall 2023 - Spring 2024)
- 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
Undergraduate Student Instructor, DATA c8: Foundations of Data Science (Summer 2024)
- 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
Group Facilitator, Berkeley Unboxing Data Science (BUDS) (Summer 2024)
- Collaborated with the Achieve Program to mentor 10 interns through individual data science projects on their research findings
Vice President, Data Science Society at Berkeley (Summer - Fall 2024)
- 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