Washington DC-Baltimore Area
➤ Conduct market research on emerging real estate opportunities and present findings to prospective buyers and investors. ➤ Use property valuation models to guide buyer decisions and interpret trends in home pricing, inventory, and regional demand. ➤ Engage in investment feasibility assessments with mentor guidance, reviewing market comps and ROI estimates.
➤ Developed and automated 30+ recurring claims reports using SQL and Bold Reports enabling managers, underwriter, and customer service team to make faster, data-driven decisions for client benefit programs. ➤ Designed and implemented automation with Excel Macros and Forta Automate, reducing billing reconciliation time from 2–3 hours to 10 minutes, streamlining PDF generation, renaming, and vendor email distribution. ➤ Created and maintained a Power BI dashboard embedded in SharePoint, providing stakeholders with real-time visibility into claims status, and next-step insights. ➤ Conducted workflow analysis to identify process inefficiencies, documented findings, and presented recommendations to leadership, driving measurable improvements in claims operations. ➤ Delivered ad hoc reporting using Microsoft Access and SQL, meeting urgent business requirements and supporting cross-functional decision making.
➤ Developed SQL queries to clean, analyze, and visualize business data, enabling faster and more accurate decision-making. ➤ Created custom reports that reduced manual processing time by over 90%, cutting repetitive tasks from minutes to seconds for multiple departments. ➤ Built automation solutions that freed up 5–7 hours per week of staff time, allowing teams to refocus on higher-value tasks. ➤ Collaborated with cross-functional teams to translate business needs into effective data solutions and reporting tools. ➤ Communicated complex data insights to non-technical stakeholders through clear visualizations and documentation.
➤ Collaborated on a research project to track zooplankton movement in the Gulf of Mexico, leveraging Python (NumPy, Pandas, Matplotlib, xArrays) to build interpolation models for missing satellite data. ➤ Expanded usable dataset coverage from 10% to 95% by generating 85% additional numerical data through model-based interpolation, enabling researchers to better analyze marine ecosystem patterns. ➤ Applied data cleaning and validation techniques to compare Chesapeake Bay model-generated chemical measurements with 1,000+ manually collected research files, improving dataset reliability and accuracy. ➤ Developed a Python-based validation model utilizing the Ball Tree algorithm to identify and match data points, streamlining accuracy checks between simulated and observed datasets. ➤ Produced graphs and reports to communicate research findings, supporting environmental scientists in refining predictive models and decision-making.
➤ Collaborated on a UX-focused security and privacy research project, addressing usability issues in digital interfaces. ➤ Conducted user research and analysis to uncover behavioral patterns, pain points, and preferences related to privacy settings. ➤ Created user personas, journey maps, and wireframes to guide user-centric design improvements and interface accessibility. ➤ Designed and refined low- and high-fidelity prototypes based on user feedback, improving interface clarity and intuitiveness. ➤ Presented findings and prototypes to faculty researchers, contributing to design decisions and successful feature implementations.