Matt Boubin

Data Science Fellow

New York City Data Science Academy - September 2021

M.S. Electrical Engineering

Miami University - December 2021

B.S. Electrical and Computer Engineering

Miami University - May 2018

Introduction

I am a graduate of the New York City Data Science Academy Fellowship Program where I applied data analysis principles to public data. I have seven years in industry as a software engineer where I managed and executed on research and development contracts. My current intrests are developing backend data services, and I am currently working on open source projects to help develop a mobile app with sound middleware practices.

Find Me

Email: bubbinmj7@gmail.com

Github

Google Scholar

Blog

Professional Experience

Data Science Fellowship

New York City Data Science Academy - New York, New York

Jan 2021 - September 2021

Used R and Shiny visualization tools to develop an application analyze international economic data and provide recommendations for industry data collection, and provided suggestions to the OECD, and international government agency
Used Beautiful Soup and Scrapy to extract data from popular music vendors to analyze commerce trends, and provided suggestions to discogs for record sales.
Developed a machine learning model to make improvements to homes in order to increase their market value
Used Google Colab and YOLOv4 to classify crop field objects to improve existing precision agricultural image processing techniques for cropfield diagnostics

Data Engineer - Contractor

GE Appliances - Louisville, KY

July 2020 - April 2021

Developed prototypes of new appliance features including robotics, diagnostics, and data monitoring for one of the largest appliance manufacturers in the US
Used Support Vector Machines to diagnose known problems with appliance Electromagnetic interference generated by appliances to monitor appliance usage with 90% accuracy for known appliances
Contributed to three US patents held by GE Appliances, and presented insights to the CEO of GE Appliances quarterly

Electrical Engineer

D'Angelo Technologies - Dayton, Ohio

May 2018 - March 2020

Used machine learning algorithms to classify radio frequency signals for cabling diagnostics
Developed custom data visualization platform in Python to interpret sensor data
Wrote proposals to fund two R&D projects valued at $150,000 for the National Shipbuilding Research Program resulting in technology acquisition from shipyards and the US Navy
Implemented a data driven solution to shore power connector testing to replace existing, dangerous measurement protocol

Graduate Research Assitant

Miami University - Oxford, Ohio

January 2017 - May 2018

Developed machine learning diagnostic tools for the Miami University Power Electronics Laboratory
Contributed to a non invasive biomedical device prototype
Taught four undergraduate laboratory courses incluing Power Electronics, Embedded System Design, Computer Aided Experimentation, and Hardware Design
Published four peer reviewed papers

Information Technology Leadership Program - Intern

GE Aviation - Cincinnati, Ohio

May 2015 - August 2015

Developed a middleware dashboard to display server performance metrics to the middleware diagnostics team using SQL and C#
Helped to develop a strategy to prevent critical server outages that cost the business 5 Million dollars per hour

Research Intern

AFIT Autonomy and Navigation Technology Laboratory - WPAFB, Ohio

May 2014 - August 2014

Parsed UAV flight test data using Robot Operating System (ROS) and C++
Configured gyroscope sensors for UAV flight tests