Booz Allen Hamilton
Staff Data Scientist
(Mar 2024 - Present)
▪Developed machine learning solutions to enhance/forecast Air Force readiness metrics as a part of the ECHOS effort, employing a range of models and automating end-to-end machine learning pipelines. Optimized predictive AI models to achieve mean squared errors below 5% and accuracy rates exceeding 90%.
▪ Wrangled challenging client data and provided actionable solutions despite suboptimal conditions. Utilized tactics such as sourcing extensive supporting data from government databases, collaborating with individual units to resolve data discrepancies, and implementing natural language processing techniques for complex data.
▪ Built database to imitate client data in the ideal case to showcase predictive analytics / machine learning capabilities, assisting in achieving multi-million, multi-year contract renewal for Booz Allen aerospace sector. Developed an automated data scraping program in VBA to transform difficult client data into a usable format for modeling.
▪Presented technical concepts in simple manner to both Booz Allen upper management and client leadership. Directly briefed clients within months of joining the team with great feedback from internal leadership.
Ignite Digital Services
Senior Analyst
(Jan 2023 - Feb 2024)
•Staffed on taskings for both Naval Information Warfare Systems Command (NAVWAR) and the Office of the Secretary of Defense (OSD), providing support for audit remediation and federal database systems.
•One of few System Administrators for LINK (Archer), a robust audit governance and compliance system with thousands of active users, designed to standardize the management of the risks and controls environment.
•Performed continuous improvements to the system (breaks/fixes, redesign, notification configuration, advance workflows), developed dashboards to display key data elements, forecasts, and projections, and presented results and recommendations to key government stakeholders. Conducted meetings in place of senior team members.
•Led multiple automation initiatives to enhance efficiency, including the development of Python scripts for automated data validation and cleaning. Additionally, created an automated tool using PowerAutomate for generating sample packages during audits.
•Cofounded internal bi-weekly Data Science club, with discussion topics including: PyAutoGUI (Python Automation), DataBricks (Distributed data), Microsoft PowerSuite, as well as various data science resources.
Systech Solutions
Data Science Intern
(Jul 2021 - Dec 2021)
•Conducted a wide range of ad-hoc analyses for firm clients; specialized in isolating causal relationships between variables using econometric methods, built dashboards for clients.
•Utilized advanced knowledge of Tableau to create data visualizations for presentation to stakeholders; answered questions and explained complex concepts in easy-to-understand terms.
•Spearheaded construction of an underwriting model projected to save clients over $50K annually by replacing underwriters with an automated approach; model accuracy exceeded human accuracy and significantly cut firm costs.
•Championed development of a fully automated machine learning platform for non-technical clients; designed and built fully automated data cleaning and model preparation modules.