• Collaborate with a team of 12+ data scientists and engineers to productionize the training, deployment, and monitoring of time series forecasting models, including econometric, tree-based, and traditional statistical models.• Support 7+ forecasting products representing hundreds of millions of dollars in value to the business.• Build and maintain CI/CD pipelines using GitHub Actions and Databricks Asset Bundles with a focus on deploying big data pipelines to Azure Databricks.• Practice test-driven development using pytest while developing business logic, striving for 80%+ test coverage as appropriate.• Integrate regression testing into CI/CD pipelines, increasing confidence in our deployments and reducing downtime.• Work with product owner and data scientists to ensure alignment with project requirements, expediting delivery timelines.• Built a Spark application to aggregate and measure terabytes of store-item-day forecasts across the enterprise daily; employed a medallion architecture to incrementally clean and enrich the data.• Implemented a revised algorithm for incorporating holiday effects into store labor forecast, reducing bias by 4% around holidays.• Contribute to University Recruiting by participating in behavioral and technical interviews; interviewed 7 candidates during the 2023 season.

• Leveraged Spark Structured Streaming and Delta Live Tables to replace our legacy clickstream data mart, processing 300 million daily records in near real-time; simplified the codebase and enabled the org to reallocate 3 dedicated engineers to other projects.• Implemented a new method to allocate forecasts to store-item-day, better capturing day-of-week patterns and reducing forecast WAPE by 3% across several key commodities.• Improved statistical controls for our clickstream mart, flagging anomalies as those outside the 95% PI of a seasonal ETS forecast; reduced occurrence of spurious alerts by nearly 10%.• Supported 3 business-critical Spark apps deployed to our on-prem Hadoop clusters, orchestrated tasks with Apache Airflow.• Wrote support plans and documentation for data pipelines, empowering offshore support to resolve issues without engagingengineering; saved approximately 4 hours of developer time per week.

• Worked as teaching assistant for Calculus II.• Taught Intro to Statistics.

• Oversaw accounting and job costing processes; held project managers accountable to job budgets, driving cost savings.• Lead the implementation of a cloud-based ERP solution and migrated several years of historic financial data, enabling remote work and collaboration among accounting and project management staff.