Roles:• Principal Data Scientist, DSR Insider Threat: September 2024 - present• Insider Threat Engineering Service Lead: September 2022 - present• Senior Data Scientist, DSR Insider Threat: June 2020 – September 2024• Data and Applied Scientist II, DSRE Insider Threat: April 2018 - June 2020Responsibilities• Accountable for OKRs, semester planning, deliverables, and rhythm of business activities for the Insider Threat Engineering service.• Lead data collection, analysis, and software and data engineering for Insider Threat service to efficiently surface insider risk, behavior, activities, and alerts to response partners.• Work with team members and partners to develop and clarify requirements for new detections, engineering improvements, service roadmap, and semester priorities.• Implement and modernize engineering infrastructure while adhering to security, accessibility, and compliance requirements. Develop and implement technical vision for the Insider Threat service. Maintain engineering systems health and resolve incidents to keep service running.• Share technical and business learnings with peers, partners, and larger community through presentations, white papers, and conferences.

Select Recent Experience:Data Scientist, Microsoft (Office Marketing Insights)-responsible for analyzing and recommending improvements to Office lead scoring methodology using machine learning and adhoc analysis.Data Analyst, Puget Sound Energy• Responsible for defining and quantifying a range of benefits to support project justification and implementation. Set baselines and targets for metrics associated to those benefits.Data Scientist and BI Developer, Microsoft (Inside Sales)• Developed Azure SQL backend to Power BI front end analytics solution for Inside Sales team, who is tasked with hiring and staffing customer support centers worldwide.• Solution tracks and visualizes current vs. target headcounts, trends over time, hiring velocity, predicted completion dates, hiring forecasts, and the hiring process funnel for each geographic level.Data Scientist and BI Developer, T-Mobile• Developed simulations in R to predict test case and defect burndown for multimillion-dollar project. • Created graph network visualization of test cases and defects in R, Tableau, and PowerBI.• Designed and implemented executive level Tableau dashboard dashboards for multimillion-dollar project. Responsible for gathering requirements from stakeholders, building proofs-of-concept, developing reports, and communicating changes to stakeholders.BI Developer and Analyst, Carlson Wagonlit Travel• Responsible for building and maintaining end-to-end business intelligence solution and advanced analytics for booking tools management and development teams. • Created regression models to predict transaction times for booking agents. Used to reduce transaction times and isolate key factors that were contributing to transaction time.• Using SQL Server and Power BI, created automated dynamic dashboards for senior management to monitor product usage (5 million transactions per month) and efficiency across countries and individuals worldwide (5,000+ users per month).

Course Assistant to the Data Science Certificate program for Fall, Winter, and Spring quarters.

I combine my love for philosophy and love for data to do surveys on philosophical beliefs, develop reports on PhD placement, and write articles on philosophical topics I am interested in.Projects:Nationally recognized reports and analysis on philosophy placement records at the graduate level.Surveys of philosophical beliefs and how these beliefs relate to each other.Philosophical commentary on current topics of interest.

BI Consultant and Analyst, Microsoft (WP Store People & Windows Content Publishing)• Architected and owned app evaluation, merchandizing, and calendaring systems for Windows 8 store promotions launch and following. Used Access and SQL server to create custom solution.• Used a wide variety of data sources such as Cosmos, SSAS, flat files, and SQL Server tables to gather data, validate data, and report data to clients.• Created a classification model to predict the promotability of apps within the store. Allowed the marketing team to focus efforts in app reviews on only those apps most likely to be promotable.Data Analysis and Modeling Consultant, Juniper Networks • Developed models for forecasting software bugs in future software releases. • Provided queries, reports, and data validation for BI team. • Maintained cube responsible for supplying metrics used to evaluate executive performance.

Responsible for grading all coursework in undergraduate courses, attending classes, giving review sessions, teaching