Joey Wilkes
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Experience

Data Scientist & Data Science Consultant, Product Office

Anglepoint

Oct 2022 – Sept 2026 · Hybrid Remote from Utah, USA

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  • Launched Cloud Cost Management (FinOps) Services line of business to generate more than $100,000 USD through both client-facing delivery (3x) & product development
  • Curated external product materials on FinOps & AI Cost Management services to support the 5th & 6th consecutive years as a Leader in the associated Gartner Magic Quadrant
  • Innovated continuously to support a multi-year automation initiative to increase revenue per headcount for a major line of business, using LLMs to process thousands of text documents and automate consultants’ manual data collection & document extraction

Data Engineer

Varian – A Siemens Healthineers Company

June 2022 – Oct 2022 · 100% Remote from Utah, USA

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  • Built a web-based Plotly Dash dashboard with 10+ data visualizations & 30+ interactive components to provide insights on an A/B test of clinicians’ use of AI models
  • Engineered medical contouring data from nested & semi-structured to tabular form using Python with minimal guidance, providing statistics for an A/B test of AI performance
  • Updated Airflow ETL DAGs involving 3+ sources & transferred 200+ GB of medical data from Azure to GCP BigQuery for AI & ML utilization
  • Saved 12+ hours of contouring setup by automating a manual process using Python

Analyst, SaaS Delivery

Anglepoint

May 2021 – June 2022 · On-site in Utah, USA

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  • Utilized Python, SQL, and Excel to identify millions of dollars in potential cost savings associated with management of Salesforce, Tableau, Adobe, & other SaaS vendors
  • Received the Selflessness Company Core Value Award (Q3 2021)
  • Built & led an internal Python resource group of 12+ individuals across several teams with a vision to enhance automation & analysis of client deliverables

Research Assistant

Mathematics Department, B.Y.U.

Apr 2020 – May 2021 · Hybrid Remote from Utah, USA

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  • Engineered a data pipeline for a High Performance Computing (HPC) environment using Python, Slurm, Bash, and Git yielding 10+ TB of data through 40+ years of computing
  • Automated processes for visualization & optimization of millions of predictive models
  • Communicated & collaborated on technical concepts while writing a research paper, presenting at two research conferences, and teaching about HPC & code functionality

Data Analytics Intern

Imagine Learning

May 2019 – Aug 2019 · On-site in Utah, USA

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  • Developed 12+ features for several predictive models using SQL & Python
  • Acquired proficiency with Amazon Web Services (Athena, S3, Glue, Redshift, Lambda, EC2, IAM) as well as Google Cloud Platform, mainly Google Maps
  • Engineered novel datasets for geospatial analysis & executive reporting

Education

BS, Applied & Computational Mathematics (ACME)

Brigham Young University

April 2021 · Utah, USA

GPA: 3.50 | Concentration in Business Management

Relevant coursework

Machine Learning, Optimization, Algorithm Design, Linear Algebra, Differential Equations, C++, Technical Writing, Statistics, Marketing, Finance, Probability