Summary
Overview
Work History
Education
Skills
Websites
Projects
Timeline
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Jeremy John

Jeremy John

Sterling Heights,MI

Summary

Computer science graduate with a solid background in programming, data structures, and artificial intelligence. Also, extensive hands-on experience in software development and data analytics. Demonstrated success in developing and optimizing applications, such as an AI-powered heart rate monitor and an Instagram clone. Showcases exceptional problem-solving skills and a track record of delivering outcomes. Proficient in Java, Python, and C++, with experience using various frameworks. Well-prepared to make valuable contributions to data-driven or software engineering positions.

Overview

4
4
years of professional experience

Work History

Fulfillment Specialist

Lowes
05.2023 - Current
  • Part of the fulfillment team
  • Picks customer orders and delivers them.

Event Coordinator

Design Movement
02.2021 - Current
  • Applied creative skills to determine multiple optimal setups to please hundreds of customers daily
  • Managed and organized AV cables and electronics for projectors and TV's.

Education

Bachelor of Computer Science, Programming & Data Structures, Discrete Mathematics, Data Structures & Algorithms, Foundations of Computer Science, Data Processing, Computer Architecture and Organization, Web Design, Advanced Data Analytics, Human Computer Interaction -

College of Engineering, Wayne State University
Detroit, MI

Skills

  • Java
  • Python
  • C
  • MATLAB
  • HTML
  • JavaScript
  • Kotlin
  • SQL
  • Shell Script
  • R
  • Windows 10
  • Mac OS 9
  • Linux (Ubuntu)
  • SolidWorks
  • Adobe Creative Suite
  • Photoshop
  • Android Studio
  • NX CAM
  • Perforce
  • Reactjs
  • Git
  • REST API

Projects

Altering Heartbeat Using AI Selected Music (Desktop Application)

  • Developed a monolithic desktop application designed to alter the user's heart rate through AI-selected music, compatible with Windows 11.
  • Integrated ANT+ wireless communications to connect the Garmin Vivosmart 4 heart rate monitor with a Garmin ANT+ USB Stick for real-time heart rate monitoring.
  • Implemented a machine learning model to predict changes in heart rate based on song characteristics, automatically selecting and playing music to reach the user's target heart rate.
  • Achieved 90% accuracy in selecting music that correctly alters heart rate, ensuring the user's target heart rate is met through AI-driven song selection.

Dash2-d Game

  • Constructed a game where a user avoids obstacles while trying to stay alive.
  • Used Python to style the interface into a presentable format.
  • Time Efficiency: 70%
  • Success Rate for Attempts: 75%
  • Percentage Completion: 80%

Instagram Clone

  • Created a static site generator using Python and Jinja2 to output HTML files.
  • Wrote Shell Scripts to generate, test, and clean up the programming environment.
  • Implemented Flask and SQLite to store site info using cookies. Hosted website with AWS.
  • Time Efficiency: 60%
  • Success Rate for Attempts: 70%
  • Percentage Completion: 85%

Timeline

Fulfillment Specialist

Lowes
05.2023 - Current

Event Coordinator

Design Movement
02.2021 - Current

Bachelor of Computer Science, Programming & Data Structures, Discrete Mathematics, Data Structures & Algorithms, Foundations of Computer Science, Data Processing, Computer Architecture and Organization, Web Design, Advanced Data Analytics, Human Computer Interaction -

College of Engineering, Wayne State University
Jeremy John