
Experience
Data Scientist & Data Science Consultant, Product Office
Anglepoint
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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
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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
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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.
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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
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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
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