Visualize vehicle collisions in NYC. Query by collisions properties like time and location!
This project was a collaborative product by Cohort 7 (2021–2022) of CUNY Tech Prep.
video.mp4
Contributors: myself, Javier Majano, Jorge Granda, Miriam Alyeshmerni, Sean Yap
Make shopping easy with this autocomplete shopping list app. The predictions are powered by learning from 3 million transactions and the products people purchased using the Instacart market basket analysis data set.
Try the demo online at shopping-assistant-demo.herokuapp.com!
Contributors: David Charles, myself
A classic-looking game of Snake written in Java.
Contributors: myself, Martin Liang, Asra Pervaiz, Naheed Reyyhad
A social distancing game and winning entry written in Python by a team of 3 for the CUNY Tech Prep Hackathon (2021). See DEVPOST for the project details.
Contributors: Jessica Jumelles, myself, Emmanuel Mbira
A pair of Jupyter notebooks for scraping NYC OpenData’s website for data sets and clustering them by similarity. This was the beginning of a year-long CUNY City College of Technology project in collaboration with NYC Department of Education (DOE) aims to help document, catalog, and clean 1,000+ data sets related to the NYC DOE.
Contributors: myself
- Generic BinaryReader and BinaryWriter Extensions February 2009
Bachelor of Science in Data Science (and Business Minor) at New York City College of Technology (NYCCT), City University of New York (CUNY) with relevant courses in machine learning, natural language processing, data mining, data security, database administration, data structures/algorithms, Python, Java, web programming (expected graduation in December 2022)
Java, Python, TypeScript, JavaScript, HTML, Power Query M, CSS, SQL, C♯, Git, Docker
I’m also an amateur linguist (≠ polyglot), cartoonist, and boulderer. I run equally well on fuels like regular coffee, decaf coffee, and beer.
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