Summary
Overview
Work History
Education
Skills
Timeline
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Thomas Fackrell

Thomas Fackrell

Data Scientist
Sandy,Utah

Summary

Hardworking and competent Data Scientist and Machine Learning Engineer with background in algorithm development, data extraction and analysis, programming, and cloud engineering. Advanced understanding of statistical and mathematical analytical techniques. Expert in machine learning and creative problem solving applicable to business needs. Extremely fast learner with documented history of picking up new technologies quickly and thoroughly. Seeking to expand my skills in data management and organization, further enabling the successful application of data science in industry.

Overview

3
3
years of professional experience

Work History

Principal AI/ML Systems Engineer

Quillify (Startup - Contract Work)
04.2023 - Current
  • AWS Cloud architecting, set up the backend infrastructure of our product, involving AWS Copilot, Docker, IAM, ECS, Lambda, VPC, Secrets Manager, DynamoDB, S3 Buckets in under one month
  • Led the development of critical backend system for MVP, in Python, wrapped in Flask API
  • R&D for enterprise data querying and prompt engineering with large language models, like GPT-4

Data Scientist / Machine Learning Engineer

Scorpion
05.2021 - 04.2023
  • Optimized machine learning and heuristic-driven models controlling the parameters of automated paid advertising systems.
  • Performed data extraction, cleaning, transforming, loading, analysis and model review in SQL and Python for algorithm development.
  • Led the development of NLP-based system to automate detection of competitor keywords in Google search campaigns, reducing costs for thousands of clients.
  • Developed polished visualizations and insight reports to share results of data analyses.

Research Intern

Air Force Research Lab
05.2020 - 08.2020
  • Autonomous Target Recognition Center, Air Force Research Lab Remote
  • Performed research in single-image super resolution via Auto-Encoders and Generative Adversarial Networks
  • Designed, trained computer vision ML models on image datasets using PyTorch and supercomputing
  • Presented findings about practical applications within the Air Force to program mentors and over 60 other interns

Education

Bachelor of Science - Applied & Computational Mathematics

Brigham Young University
Provo, UT
04.2021

Skills

  • Machine Learning (PyTorch, Scikit-Learn, Numpy, Pandas, NLTK, SQL, Azure, AWS)
  • Programming: Python, Flask, Bash scripting, C, basic web development
  • Systems: Docker, GitHub, Unix Shell, AWS infrastructure
  • Data analysis, ETL, reporting, dashboarding

Timeline

Principal AI/ML Systems Engineer

Quillify (Startup - Contract Work)
04.2023 - Current

Data Scientist / Machine Learning Engineer

Scorpion
05.2021 - 04.2023

Research Intern

Air Force Research Lab
05.2020 - 08.2020

Bachelor of Science - Applied & Computational Mathematics

Brigham Young University

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Thomas FackrellData Scientist