Summary
Overview
Work History
Education
Skills
Certification
Interests
Timeline
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Andrew Thomas

Austin

Summary

Dynamic and results-driven professional with a strong background in data science, product management, and cross-functional collaboration. Over six years of experience leveraging advanced analytics, machine learning, and process optimization to drive business outcomes across multiple industries, including finance, defense, and technology. Proven ability to lead teams, develop innovative solutions, and optimize workflows in fast-paced environments. Skilled in transforming complex data into actionable insights, enhancing operational efficiency, and delivering data-driven strategies that drive organizational success. Passionate about building solutions that empower teams and deliver value to stakeholders.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Nuclear Electrician/Contract Management Developer

US Navy
08.2021 - 01.2025

Spearheaded the development of the U.S. Navy’s first centralized digital contracting system, revolutionizing the aggregation, organization, and forecasting of over $4 billion (scaling to $9 billion) in contracts across multiple military branches and commands. This system significantly enhanced operational efficiency and is projected to save the Navy $250 million in its first year.

  • Built and deployed custom applications using Microsoft Power Apps, Lists, and Automate to standardize contract submissions within the Naval Aviation Enterprise, streamlining customer service, increasing financial transparency, and improving audit readiness.
  • Developed advanced tools to enhance user experience, including form submission capabilities, role-based access controls, and automated document generation—reducing administrative burden and minimizing errors.
  • Implemented automation to convert text into categorical data, integrate calculators, generate draft contracts, and establish logic-based workflows, significantly reducing manual input and processing time.
  • Optimized contract approval workflows by creating dynamic form generators and automated email triggers, ensuring personnel remained updated on contract progress without direct application access.
  • Enhanced financial oversight by integrating pre- and post-award contract data, enabling real-time tracking of task orders and financial records. This system empowered the Contract and Acquisition Management team to identify discrepancies and benchmark financial data across military wings, leading to more efficient resource allocation.
  • Led presentations and training sessions for U.S. Navy contractor overseers and administrators on the use of the application I developed, ensuring effective adoption and utilization.
  • Ensured strict compliance with safety protocols, nuclear regulatory requirements, and operational procedures to maintain a secure working environment, mitigating risks to personnel and safeguarding mission effectiveness.
  • Demonstrated adaptability and resilience in high-pressure environments, troubleshooting and resolving complex electrical issues to sustain mission-critical operations and ensure the vessel’s operational readiness.
  • Exercised strong leadership as the designated Class Leader at Naval Nuclear Power School, overseeing a cohort of 20 students within one of the Navy’s most rigorous academic programs. Led team efforts that consistently ranked among the top performers across multiple academic cycles.

Co-Founder/CTO

Sabz Health
01.2020 - 04.2021
  • Led the development of an interactive, educational website and diagnostic questionnaires to enhance patient engagement across various medical specialties.
  • Optimized an online health risk assessment, streamlining the management of over 50,000 patient cases and improving diagnostic accuracy.
  • Implemented automated mental health alerts, enabling early intervention for 50 high-risk individuals, significantly enhancing patient safety and suicide prevention efforts.
  • Developed a proprietary automation tool that aggregates patient responses into HIPAA-compliant, user-friendly formats, increasing efficiency and improving the quality of care for healthcare providers.

Quant Associate

Green Street Advisors
01.2019 - 08.2019
  • Developed advanced time series models in R, achieving greater accuracy in forecasting apartment prices compared to existing methodologies.
  • Applied unsupervised learning techniques and partition clustering analysis in Python to uncover key statistical insights, identifying critical variables influencing price dynamics in the apartment sector.
  • Utilized data visualization tools in Python and R to create intuitive graphical representations, enabling leadership to better interpret complex statistical models and make data-driven decisions.

Education

Master of Science - Computational & Data Science

Chapman University
Orange
06-2019

Bachelor of Science - Business Administration: Finance

Chapman University
Orange
06-2018

Bachelor of Science - Computer Science

Chapman University
Orange
06-2018

Skills

  • Python, R, SQL
  • Microsoft Power Apps, Power Automate
  • Statistical Modeling & Data Visualization
  • Predictive Analytics & Algorithm Development
  • Machine Learning & Artificial Intelligence Applications
  • Business Process Optimization & Digitization
  • Nuclear Reactor Operations & Safety Compliance
  • Defense Contracting & Acquisition Management
  • Presentation & Public Speaking
  • Critical Thinking & Analytical Mindset
  • Fast Learner & Self-Starter

Certification

Udemy

  • Linear Regression in Python
  • Python for Financial Analysis & Algorithmic Trading
  • Data Science: Deep Learning in Python
  • Unsupervised Deep Learning in Python
  • Modern Deep Learning in Python
  • Deep Learning: Recurrent Neural Networks in Python
  • Deep Learning: Convolutional Neural Networks
  • Spark and Python for Big Data with PySpark

Interests

  • Gardening
  • Swimming
  • Reading

Timeline

Nuclear Electrician/Contract Management Developer

US Navy
08.2021 - 01.2025

Co-Founder/CTO

Sabz Health
01.2020 - 04.2021

Quant Associate

Green Street Advisors
01.2019 - 08.2019

Master of Science - Computational & Data Science

Chapman University

Bachelor of Science - Business Administration: Finance

Chapman University

Bachelor of Science - Computer Science

Chapman University
Andrew Thomas