LinkedIn Profile


Pacific Lutheran University, Tacoma, WA
Bachelor Degrees: Mathematics and Computer Science
Pacific Lutheran University President Scholar
Collegiate Athlete: Pacific Lutheran University Football


Data Scientist and Data Engineer III, 10th Magnitude

  • Retained as a core engineer during the acquisition of Northwest Cadence by 10th Magnitude due to DevOps and Data skillsets
  • As a Microsoft Partner I worked with clients to develop and deploy predictive analytics solutions at scale in Azure using the Azure Data and AI Platform
  • Key engineer in developing a predictive labor and labor monitoring solution using machine learning, stream processing, and Databricks
  • Created an predictive NLP solution to analyze raw text input from attorneys to predict the appropriate time code in order to assist in pricing legal matters and auditing of attorney time for accurate billing
  • Developed a web application to visualize and audit build and release pipelines in Azure DevOps
  • Developed and deployed small to big data solutions for five clients to support predictive analytics using a combination of the following technologies: Databricks, Kafka, Azure Event Hub, Azure Data Lake, Azure Storage, Docker Containers, Azure DevOps, and Azure Machine Learning Service
  • Core team member in developing a professional services data intelligence practice through client relations, scoping sales opportunities, managing client expectations as a tech lead on projects, and creating solution offerings
  • Built, deployed, and managed internal machine learning and Power BI solutions to increase company profitability, organizational leadership visibility, and operational efficiency

Data Science Consultant, Northwest Cadence

  • Worked with over 20 clients to develop, deploy, and maintain machine learning and deep learning solutions written in R and Python
  • Consulted and worked with clients to integrate DevOps practices into their data science team and development processes. This includes source control, automated build, release and testing using Azure DevOps
  • Developed a solution to predict microchip defects in hundreds of thousands of images using keras and a convolution neural network to automate QA
  • Consulted clients on implementing enterprise reporting and predictive analytics solutions to support their business needs
  • Managed a large migration of several Team Foundation Server team projects to Azure DevOps
  • Developer on the Visual Cadence team, an event driven and serverless application that enables teams by providing their Azure DevOps data in a relational database
  • Created and delivered training on the following topics: Azure Data and AI Platform, Python and R Programming, Data Science, and Power BI

Data Analyst, Revenue Operations, DaVita Inc.

  • Established strong support for internal collaboration as the technical resource to develop and support revenue operations business initiatives for 15 projects
  • Supported business intelligence solutions by developing ETL processes for data stored in Microsoft SQL Server and Oracle Databases
  • Developed dynamic reporting solutions using Tableau


  • Intermediate to advance in the following programming languages: R, .NET, Scala, SQL, Python (pandas, scikit-learn, Keras, Tensorflow, CNTK, PySpark etc.)
  • Ability to quickly adapt, learn, communicate, and relay technical details to key business stakeholders
  • Developed solutions or proof of concepts using the following technologies: Azure SQL Database/Data Warehouse, Azure Data Lake Store, Azure Databricks, Azure Container Instances, Docker, Azure Storage, Kafka, Azure Event Hubs, Microsoft Machine Learning Server, SQL Server 2017, and Azure Functions