Automating data pipelines, modernizing analytics infrastructure, applying data science principles to artificial intelligence R&D projects, and exploring graph analytics for workforce insights are a few things we have in the works.

I currently lead the implementation of a cloud-based data and analytics infrastructure that underpins the Human Capital organization’s data science initiatives. Achievements include linking siloed cloud environments by removing firewall and authentication barriers, expanding how the agency accesses and shares data, implementing storage and processing solutions for analytics-ready data, transitioning a data pipeline (saves 40+ hours of work per week, earned an Early Career Achievement Medal) to the cloud for automation and scalability, and establishing a platform for analytics, LLMs, and specialized databases. Through this work, I have learned about cloud architecture and engineering, components of infrastructure required to support high-performing, fast-moving data and analytics teams, and strategic considerations when designing for long-term scaling and cost-optimization. Specific technical components of this work include: AWS (S3, RDS, EC2, IAM, DNS, VPCs, etc.), SAP, APIs (Rest, SAP, and otherwise), Databricks, Airflow, Python, SQL, R, Posit, SAML authentication, Ollama, Weaviate, Memgraph, dbt, Quarto, Linux, Git, and more.

Currently, I am also mentoring interns and pursuing some R&D projects around skill analysis leveraging graph databases and LLM applications in human capital.

In the past, I have had the opportunity to work with teams across the Human Capital Office and the agency to provide insights using people data. From producing workforce-at-a-glance metrics in Tableau dashboards to help mission areas see their people data in a new way to collaborating with supervisors and telework coordinators to collect, process, and visualize data into applications to assist with return-to-office decision making, I've demonstrated my ability to synthesize complex, disparate datasets into data products that enable non-technical partners even beyond the Human Capital Office to take action.