- Led a remote team of 9 data engineers, BI analysts, and data scientists, fostering collaboration and skill development.- Provided project estimates and prioritization for a diverse portfolio, ensuring efficient execution.- Reduced data escalations from 6% to 1% by spearheading data engineering efforts to improve data processes and allow business partners to self solve.- Led data science teams to estimate potential market size for SaaS products and summarize customer experience data, driving strategic decision-making.

- Led the Customer Technology Adoption and Utilization Data Science Team, utilizing scrum methodology. - Tracked progress through Jira and Objectives / Key Results framework (OKR)-Team delivered multiple data science projects including one to increase utilization of Operations Center – Deere’s flagship web application. Validated effectiveness of models with A/B tests- Team delivered data set to knit customer data across multiple levels of company. Data was used to help understand most profitable customers for company.- Established the Customer Success Data & Analytics function. - Partnered with Product Manager and business function to understand key metrics and dashboards needed. - Team iteratively developed Tableau / Power BI dashboards and billing for 4 major product lines to aid in goal of 90% customer retention. - Established team best practices: usage of Databricks/Pyspark, automated github/databricks CI/CD pipelines, automated unit tests, data quality checks, model monitoring.- Team delivered on a Large Language Model to summarize call center calls and provide action items. Project received standing ovation when presented to dealers.- Mentored data scientists, analytics development program and Data Engineers. Promoted two people through career architecture

- Data Science Lead for major mission-critical automation project - Defined data science goals for project in concert with product manager - Resolved integration issues between development and data science - Built out metrics to measure effectiveness of automation algorithm using python and pyspark- Developed novel method for identifying when changes occur in noisy time series signals. Allowed team to understand if changes in machine settings had a statistically significant impact- Developed novel clustering algorithm to provide optimal machine settings while minimizing the number of settings changes to reduce wear on machine - Led monthly paper discussion group focused on advanced machine learning techniques- Trained new hires and interns on data science best practices / databricks / spark to help them get quickly up to speed

Led team of data wranglers responsible for building out an automated process using scala/spark and python geo-spatial processing on the AWS platform to serve analytic data to farmers at scale. Included developing tools for cleaning and merging the data from a geo-spatial perspective across a wide range of data layers.Trained team on scala/spark best practicesDeveloped custom dashboards in Tableau to show important business trendsDeveloped a genetic algorithm using python to optimize farming practicesDeveloped RShiny geo-spatial applications to show farming trends

Lead/train team of QA analysts testing next generation data lake architecture at AmazonLead security testing for My John Deere websiteLead performance testing on big data effortLead test automation effort for My John Deere website using Selenium and CucumberSet up test automation to support continuous integration

Board Member on Des Moines Data for Good Non-Profit InitiativeWorking to bring analytics to non-profits in the Des Moines areaHelped a non-profit identify which strategies worked to help students complete training programs

Implemented Cucumber Java / Selenium at a client to automate testing of key processes.Integrated automated tests into Jenkins continuous integration service.Performed manual testing.Trained team members on best practices in testing / test automation.Developed API performance tests using JMeter and integrated into Jenkins continuous integration.Created online video training for Selenium to train new people in Selenium Best Practices.

• Set up quarterly meetings for VIVIT in Iowa Chapter. • Meetings showcase new features for HP Products like Application Lifecycle Management and Quick Test Professional.• Chapter has grown from an average of 10 attendees in 2008 to 25 attendees this year.

Define performance requirementsLead performance testing efforts for web and mainframe

• Develop test automation solutions using QuickTest Pro to speed manual testing and automate regression testing. Automated mainframe, web, and ETL applications.• Created framework where users input data into spreadsheets to test a user interface. Spreadsheets read into QuickTest Pro and results are posted into Quality Center. Developed VB.Net code to enhance Excel to make it easier for users to input data.• Created framework for validating ETL mapping from source to target databases. Framework queries source database for valid data combinations, then compares the data in the target database.

•Used QuickTest Professional to set up a data-driven automation framework to test the user interface functionality for a major insurance application. •Set up automation scripts to test the extract files generated by a major insurance application. Test cases were set up so manual testers could maintain the test data in Excel files. •Planned/managed the automated regression effort and trained team on the data-driven framework.•Built an Excel based tool to load clients and policies to speed manual testing. Process saved ~900 hours of manual effort by reducing the time spent setting up pre-conditions so testing could be executed.•Set up Quality Center processes and procedures.•Customized Quality Center to meet client needs.•Created HP Dashboard reports to provide insight into the status of projects.•Helped set up manual data-driven testing process to improve test case reuse. .

• Established Quality Assurance organization and practices.• Managed QA team through major VB.Net project. After release, application had no major issues for 9 months.• Implemented performance testing using Mercury Load Runner and developed performance requirements gathering process. Resulted in improved performance of applications upon release.• Led implementation of application performance monitoring and capacity planning. Data is used to proactively monitor production and predict future application capacity needs.

• Developed Quality Assurance practices and testing methodology for web/back office development on C#, SQL Server, and ASP.• Implemented Mercury WinRunner, TestDirector, and Astra LoadTest.• Responsible for managing daily activities of the testing department including reviewing business specifications and test plans for completeness and providing time estimates for various testing activities. • Set up data-driven automated test suite to verify investment advisory functionality of the 70 company web sites. Test ran weekly to verify new application builds

• Assisted in implementation of the Rational Suite of products and the Rational Unified Process to help client move to CMM Level 2. • Reviewed use cases and set up test cases/matrices of Java based insurance system at Lincoln Re-Insurance.• Set up automated regression test of Java application to ensure functionality did not change application was re-factored (10,000 lines of code removed) and moved from delivery as an applet to a Sun JRE plug-in through a browser. • Taught a team of business analysts to use Rational Robot. Developed processes and documentation to enable them to use Robot to automate their tests. Employed a mix of record/playback and data-driven solutions.