Owen Fish

1520 N Johnson St · Arlington, VA 22201 · (703) 915-1306 · owenfish31@gmail.com

I am a current graduate student at William & Mary in Computer Science with a specialization in Computational Operations Research. Expected graduation date December 2020. I am interested in software engineering of large-scale machine learning systems. I am a recent graduate of the College of William & Mary where I achieved a Bachelor of Science degree in computational statistics.


Experience

Graduate Teaching Assistant

Math 410 - Advanced Statistical Data Analysis

I work as a teaching assistant for the advanced undergraduate course focusing on advanced statistical methods. I grade and annotate assignments, answer questions, and overall make myself available to students for various course-based needs.

Fall 2020 - present

Data Analysis Intern

William & Mary Law School

I worked with the admissions department to model student matriculation as a function of various factors available in the students' application; generated weekly reports about model development process; met weekly with the Dean of Admission to present my findings.

Fall 2019

Software Engineer Intern

Zest AI (formerly ZestFinance)

Worked on the ZAML Software Project to make credit accessible and transparent; developed infrastructure on which machine learning models can be created; worked extensively on an AutoDocumentation feature for model explainability; pushed code to production.

June 2019 - August 2019

Technologist Intern

Radiant Solutions

Worked on a small team to ingest, manipulate, and analyze large scale data for a classified client project. Also worked to update and maintain a large code base using theoretical principles of computer science and git.

May 2018 - August 2018

Education

College of William & Mary

Master of Science
Computer Science - Specialization in Computational Operations Research
August 2019 - December 2020

College of William & Mary

Bachelor of Science
Major in Computational and applied mathematics and statistics (CAMS) - applied statistics track. Minor in computer science.
August 2015 - May 2019

Skills

Programming Languages & Tools
Package Experience
  • Pandas
  • PyMC3
  • SciPy
  • SciKit-Learn
  • ggplot
Technical Skills
  • Machine Learning
  • Probability
  • Linear Program Formulations
  • Data Cleaning and Presentation
  • Agile Development & Scrum
Coursework
  • Big Data (in progress)
  • Analysis of Algorithms (in progress)
  • Neural Networks
  • Linear Regression
  • Optimization in Machine Learning
  • Internet Algorithms
  • Network Optimization
  • Mathematical Statistics
  • Operations Research: Stochastic Models
  • Integer Programming
  • Scheduling Theory & Algorithms
  • Database Management

Research

Graduate Research Project

Datalab at William & Mary

I work in the DataLab research lab with Professor Pradeep Kumar to make use of recent developments in Graph Neural Networks with respect to both entity classification and fact recovery in the context of a large scale knowledge base.

Fall 2020 - in progress

Final Research Project - Internet Algorithms and Economics

Link to final research paper here

  • Surveyed the literature for auto-completion methods on an incomplete knowledge graph
  • Built a model to classify whether two real-world entities were related in a certain way
  • Made use of oversampling procedures to deal with an imbalanced data set
  • Achieved 92% accuracy on a test set (S.O.T.A 96%)

Spring 2020

Projects

Here are some projects I've undertaken in my free time.

...
Simple-Self-Driving

I attempt to teach a children's toy car to learn to drive!

Last updated 8/31

Link!
...
Baseball Hit-Prediction

I wrote a fully functional program to ingest baseball-related data, extract relevant at-bat data and anaylyze it to predict whether player X will get a hit off of pitcher Y.

Last updated 8/6

Github Link - Demo coming soon