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  • Hi, Iā€™m Steve Piccolo.

  • Iā€™m interested in data, machine learning, and AI.

  • Iā€™m majoring in Computer Science at Rowan University, with a minor in Mathematics and concentration in Artificial Intelligence. At the moment, I'm sharpening my skills in Python, C++, SQL, and Java.

  • Iā€™m looking to collaborate with other entry-level programmers on novel solutions to real-world problems, especially if those solutions utilize machine learning and AI. I'm currently working on a personal project with the goal of making mass gatherings safer by analyzing dense crowd behavior and helping event organizers to more effectively plan safe venue layouts and schedules.

  • Shoot me an email at [email protected]

Steve Piccolo's Projects

boxoffice icon boxoffice

A C++ console application that calculates gross sales, distribution charges, and net profit for a movie theater.

cs-notes icon cs-notes

The repository where I keep all my CS notes. Making it public because why not?

dotfiles icon dotfiles

The dotfile repo I use to backup and port my dev environment

lux-design-2021 icon lux-design-2021

Home to the design and engine of the @Lux-AI-Challenge Season 1, hosted on @kaggle

markdown_readme icon markdown_readme

Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.

mnist_with_a_twist icon mnist_with_a_twist

Challenge: reach 99%+ accuracy on the MNIST dataset without using gradient-boosted decision trees or deep learning.

movie-rec icon movie-rec

A movie recommendation system built as our final project for Machine Learning I

rml icon rml

A web application that allows customers to self-book appointments, offering discounts for times that are optimal for the business owner.

rml_calendar icon rml_calendar

Remote repo for the rainmanland.com self-scheduling and route optimization web app

rml_smart_calendar icon rml_smart_calendar

A web application that allows customers to self-book, intelligently offering discounts for the time slots that are optimal for the business owner, then builds service routes to optimize drive time.

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