As the largest student-run data science organization on campus, we are dedicated to developing technical skills in data science through various activities and events such as club projects, workshops, guest speakers and professors. Our organization serves as a platform for undergraduate and graduate students of all majors at Georgia Tech to learn about and practice data science and analytics. We are a focused club with three main components: projects, bootcamps, and Hacklytics.
In the spring 2023 semester, we had 504 dedicated DSGT members. Here's how we look like in class and major demographics:
We teach our members core data science skills through a bootcamp that takes our members on a start-to-finish journey, touching on essentials such as cleaning data to more advanced concepts, such as feature engineering. Workshops are project-based and all members leave bootcamp with a fully polished, professional data science project.
Hacklytics is Georgia Tech’s 36 hour datathon brought to you by Data Science at Georgia Tech, Georgia Tech's largest community of student data scientists! Our goal is to give students an opportunity to get hands-on experience with data science, collaborating on projects that make a real impact. As the world is becoming increasingly dependent on data, our theme for Hacklytics 2025 is "Jurassic Park". We look forward to seeing innovative projects inspired by using data as building blocks. Hacklytics 2025 will be held in an in person format between Feburary 21st through the 23rd, 2025.
Keeping with our motto, “data science with a focus on the community,” projects enable members to give back to the community while gaining hands-on data science experience. We showcase our projects each semester through our project expo. Here are some of the projects we are currently working on:
Deep Learning Playground is a user-friendly web application designed to provide an interactive and accessible introduction to the world of Machine Learning and Deep Learning.
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This innovative project reimagines financial planning as a conversational experience. The AI engages users in natural dialogue, gathering data like income and investments to create personalized financial roadmaps.
A seminar-styled introduction to data science competitions, including Kaggle and CLEF 2025. Members will read, present, and discuss research, and compete in an internal competition for prizes.
The goal of the WOD Project is to predict workout times for crossfit workouts, commonly referred to as Workout of the Day (WOD). There are complex interactions between exercises, allowing us the opportunity to explore a range of ML algorithms.
Furnichanter is an innovative project that seamlessly combines technology with interior design. It aims to empower users by enabling them to effortlessly search for furniture through images and generate custom pieces from text descriptions using advanced AI models.
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Check out these opportunities to get involved:
Feb 21-23 2024
Hacklytics is Georgia Tech’s 36 hour datathon brought to you by Data Science at Georgia Tech, Georgia Tech's largest community of student data scientists!
Learn More