Skills

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Program Analyst | Fraud Detection Data Scientist

Washington, DC

· Conducted data querying and anomaly detection methods, identifying a subset of potentially malicious companies. Successfully withheld approximately $40 million from these companies pending further investigation.

· Supporting the migration of 50+ reports from a SharePoint site to Tableau and Posit Connect servers to improve data accessibility. 

· Spearhead an initiative to improve company-wide data infrastructure through the procurement of distributed computing software.

· Leading an effort to use machine learning to detect fraudulent agents in the Lifeline and ACP programs. Currently in the data engineering/feature selection phase. 

· Query/analyze large (5+ million) program applications, enrollments, and claims data and present insights to organizational leadership, the FCC, and other stakeholders through Tableau dashboards and Posit connect web applications.

Associate Data Scientist | Recommendation Systems
Arlington, VA
 

· Produced two production grade recommendation models using high quality, reusable python code with an emphasis on scalability. 

· Recommendation systems aimed to promote a streamlined procurement process by suggesting similar contracts to private firms aiming to conduct business with federal, state, and local governments.

· Deployed models with Databricks MLFlow for real-time inference and reported model performance metrics in live dashboards which resulted in the development of test strategies and optimizing the models.

· Models implemented one or more conventional data science frameworks for natural language processing (NLP), recommendation systems, and traditional machine learning techniques.

· Created data infrastructures for extraction, transforming, and loading (ETL) data into production models using government API’s, Databricks workflows, and a Hive metastore. 

· Conducted data analysis on big data (roughly one million cases) using distributed cloud computing and AWS microservices.

Senior Research Assistant (08/2018-08/2021)
Sacramento, CA

· Chaired roughly 20 quantitative research projects (3-8 projects at a time) from hypothesis to dissemination with the goal of presenting at international, national, and regional conferences.

· Preform advanced statistical analysis and machine learning in R and SPSS.

· Received awards at three separate conferences for the projects’ scientific merit and quality of the presentation.

· Reduced time spent on data cleaning by over 50% by initiating reusable code utilized across team members and projects.

· Conducted consultation sessions on research methods and statistics for over 10 graduate and advanced undergraduate students.

· Mentored over a dozen junior researchers to promote career growth and improve organizational satisfaction.

Business Data Analyst
Sacramento, CA

· Developed weekly dashboards using R, R Markdown, and SPSS to perform A/B tests, regression, and data visualizations on user behaviors and attitudes to achieve stakeholder goals.

· Served as the subject matter expert (SME) for data and led quarterly meetings with organization leadership and stakeholders to support data-driven decision-making.

· Maintained a single database housing more than 10 tables and included all data entering the organization to improve data analysis efficiency.