Resume

• 2015

  Master of Science in Engineering (M.S.E.)

  Applied Mathematics and Statistics

  Johns Hopkins University

  Whiting School of Engineering

• 2010

  Bachelor of Science (BSc)

  Computational Mathematics

  McNair Scholars

  Society for Industrial and Applied Mathematics

  Mathematical Association of America

  Embry-Riddle Aeronautical University

• Machine Learning

  Algorithms

  Vue.js

  Numerical Analysis

  Linux System Administration

  Linux

  Research

  Computer Vision

  Python

  GNU/Linux

  Mathematics

  Software Development

  SQL

  MongoDB

  JavaScript

  Matlab

  Optimization

  Data Analysis

  Statistics

  Mathematical Modeling

  An Economic Regression Model to Predict Market Movements

  Timothy Smith

  International Journal of Mathematical Trends and Technology

  An Economic Regression Model to Predict Market Movements

  Andrew

  Hawkins

  Stanley Black & Decker

  Inc.

  Daytona State College

  Embry-Riddle Aeronautical University

  Product Quest Manufacturing LLC

  Johns Hopkins University

  The Chemours Company

  Holly Hill

  FL

  Implemented statistical learning algorithms to predict the demand of finished goods.\nNavigated large data sets from a variety of sources and compiled them into a centralized database.\nBuilt front and back end software to distribute and automate future forecasting.

  Data Scientist

  Product Quest Manufacturing LLC

  Daytona Beach

  FL

  MA 305: Introduction to Scientific Computing - Fall 2013\nMA 412: Probability and Statistics - Fall 2012

  Spring 2013

  Teaching Assistant

  Embry-Riddle Aeronautical University

  The Chemours Company

  Daytona State College

  Daytona Beach

  FL

  MAT0028: Mathematics II - Fall 2014

  Adjunct Instructor

  Baltimore

  MD

  EN.550.371: Cryptology and Coding - Spring 2017\nEN.550.439: Time Series Analysis - Spring 2017\nEN.550.171: Discrete Mathematics - Fall 2016\nEN.550.461: Optimization in Finance - Fall 2016\nEN.625.741: Game Theory - Fall 2016\nEN.550.453: Mathematical Game Theory - Spring 2016\nEN.550.361: Introduction to Optimization - Fall 2015\nEN.550.400: Mathematical Modeling and Consulting - Fall 2015

  Teaching Assistant

  Johns Hopkins University

  Towson

  MD

  I work on the Digital Manufacturing

  Industry 4.0 team. My goal is to leverage machine learning and optimization to automate decision making and drive efficiency.

  Data Scientist

  Stanley Black & Decker

  Inc.

  McNair Scholar

  GAANN Fellowship