Hi there, we are Crustacean Hacks! We are a group of students from the University of Minnesota Twin Cities in the College of Science and Engineering. We are Computer Science majors who are passionate about software development and creating new and exciting projects. We are currently working on a variety of projects for various hackathons around the US that we are excited to share with you.
- Major: Mathematics B.S., Computer Science B.S., Computer Science M.S.
- Interests: Artificial Intelligence, Machine Learning, Data Science
- Languages: Python, Java, Javascript, C/C++, PHP
- Role: Backend Developer (Works with frontend and data science when needed)
Contact: alexiliarski@gmail.com
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- Major: Computer Science
- Minors: Interdisciplinary Design, Information Technology Infrastructure
- Interests: Cybersecurity, Information Technology, DevOps
- Languages: Java (Expert), Various Others (Proficient)
- Role: Backend Developer (Focus on Data Processing, Database Management, Website Infrastructure)
Contact: andrewomagnuson@gmail.com
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- Major: Computer Science
- Minors: Entrepreneurial Management, Technology Management
- Interests: Data Science, Full-Stack Web Development
- Languages: Python, Javascript, Java, R, C/C++, SQL
- Role: Full Stack Developer (Works with data science when needed)
Contact: benjaminlindeen@outlook.com
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- Major: Computer Science
- Interests: Machine Learning, Artificial Intelligence, Software Development
- Languages: Python (Favorite), Java, C/C++
- Role: Backend Developer (Works with frontend and data science when needed)
Contact: dev@isaacberlin.me
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- Major: Computer Science B.S.
- Interests: Data Science, Machine Learning
- Languages: Python, C/C++, R, Java
- Role: Data Scientist
Contact: michaelginzburg321@gmail.com
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- Major: Computer Science
- Minors: Mathematics
- Interests: Artificial Intelligence, Machine Learning, Software Engineering, Web Development
- Languages: Python, Javascript, Java, C/C++, React, Express, SQL
- Role: Full Stack Developer
Contact: rwang.ep@gmail.com
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Examining and statistically analyzing over 6 million job applications in India between 2015 and 2018. Using machine learning techniques, data science, and data analytics to predict if India's increase in maternity leave had a positive impact on women's ability to apply for jobs and their ability to be interviewed for jobs.
A Chrome extension that tracks your browsing time on all of your tabs across all of your devices. A beautiful website shows users their browsing data, which is perfectly visualized and easily sortable.
What's Up Doc provides an intuitive and beautiful search system that incorporates all of the requirements you may have when finding a new doctor, including location, accepted health insurance, specialty, and years of experience. With What's Up Doc, you can find your perfect doctor faster than ever.
Data analytics project using Python and the Pandas library. Predicting agricultural companies' success for The Good Acre in partnership with Analytics for Good Institute.
Promoting civic engagement by gamifying philanthropy through a Tinder-style card system, and a yearly Spotify-style wrapped recap.