Jack Flaherty Portfolio

About Me

As a Computer Science graduate from the University of Colorado, Boulder I have a strong foundation in Programming, Data Structures, Algorithims, and Software Engineering Principles. I am proficient in C++, Python, and Javascript and have experience in full-stack development using frameworks such as Django and React. During my internship at LiveACID Software, I worked with a team of developers and designers, using agile methodologies and tools such as Git, Jira, and Slack I also participated in code reviews, debugging, and documentation.

My Skills

C++

Python

Javascript

React

HTML

CSS

MongoDB

MySQL

Scala

FrontEnd Development

GIT

Jira

Projects A Sample of Some of My Work

Music History Analysis Project

As part of a big data architecture course, I worked with a team of graduate and undergraduate students to develop an application that utilizes the Spotify and Billboard APIs to present users with an intuitive web page where they can explore how trends in popular music have evolved since the inception of the Billboard chart.
Tech Stack Utilized: Software Screenshot

See a demo of the Project

Finding Pluto Game Project

Finding Pluto is a web-based game that I developed with a team of my peers. The user controls a small spaceship navigating through space. The objective of the game is to navigate various mazes while avoiding obstacles, to eventually reach Pluto. Users traverse the various levels using arrow keys, and the speed and momentum of the spacecraft is utilized to familiarize users with a simple example of vector addition, to successfully complete the game, users will have to consider their relative speed and utilize momentum to avoid obstacles. Besides the 10 base levels in the game, users are able to design and publish their own levels for others to play, in addition to creating a profile that will track their created levels and high scores.

Tech Stack Utilized
HTML CSS Javascript MySQL PostgreSQl Heroku Github Jira

Stock Price Prediction Application

Created a machine learning model utilizing open source libraries to predict stock prices using Keras, Tensorflow, and Numpy