* Technical Lead: Provided technical leadership by defining standard ways of working on our team including leverage AWS SageMaker, Github, Database Design, Pipeline Strategy and Deployment protocol. Achieved this by partnering with multiple parts of IT and Engineering functions across the company.* Survey Analytics: Embedded generative AI in the survey cycle process to enable HR Business Partners, Leadership, and C-Staff to make data driven decisions including topic analysis, sentiment analysis, and summary generation from over 95,000 comments* Automated Analytics: Using the People Insights Portal to create data as applications helping us scale insights such as decision tree models, attrition models, and NLP models. These applications were able to map to user personas providing security and a higher level of functionality than dashboarding tools such as Tableau.* People Insights Portal: Developed and scaled people insights portal using JavaScript, enhancing our capabilities to build data-driven user interfaces, achieving recognition for innovation and establishing a dedicated full-time role to sustain its growth.

• Used NLP and K-means clustering to develop a topic modeling framework to identify common themes from survey results leading to faster and more consistent topic groups• Developed and scaled an employee retention model using a Random Forest Classifier to identify employees at risk of voluntary exit revealing new insights to our people success teams• Conducted a multiple regression analysis to measure the pay differences among minority groups within the company, providing specific feedback to management teams about the state of our labor practices• Forecasted quarterly hires using an ARIMA model to provide planning and capacity estimations to HR leadership• Built data pipelines in AWS from multiple data sources to increase the speed of data reporting and exploration• Started the first HR Datalake at Autodesk using AWS which led to a reduction in our analytics data retrieval time of 99%

• Developed and scaled an NLP modeling framework to extract themes from user story summaries. Provided management with a clear investment allocation across engineering, in addition to providing actionable insights to team leadership.• Built data model using SQL to join multiple tables across our Buy, Access, & Manage databases (over 5 million rows) to drive insights into licensing system availability & customer success metrics• Led quarterly reviews on engineering output providing a high level of visibility to management to improve the allocative efficiency of engineering resources.• Conducted internal analysis on major customer incidences giving management teams the insights to drive close rates from 50% to 99% in a single quarter.

• Analyzed companies based on business model characteristics to support sales in demand generation efforts which led to an acceleration in AdWords revenue.• Advised customers on various digital marketing strategies through Google’s media solutions to assist them in meeting aggressive growth goals, gaining market share, or launching new products.