▪ Developed and maintained a full-stack internal analytics web application using Python, Flask, React, and SQL databases

▪ Designed and implemented scalable backend APIs in Flask to support efficient data querying and visualization across high-volume datasets

▪ Built interactive React components for dashboard creation and large-scale data exploration used by multiple internal teams

▪ Provided ongoing support to internal users by diagnosing issues, incorporating feedback, and delivering reliability and usability improvements

▪ Completed graduate coursework focused on applied data analytics, predictive and prescriptive modeling, and database foundations using tools such as Python and R

▪ Studied machine learning, predictive analytics for data science, and advanced statistics to develop data-driven solutions for business challenges

▪ Built analytical and visualization solutions by integrating statistical methods with programming and database skills to support data-informed decision making

▪ Analyzed large financial and economic datasets to support county-level budgeting and planning decisions

▪ Built data models and forecasts for revenue and expenditures using Excel and Oracle Crystal Ball, enabling forward-looking analysis

▪ Designed data dashboards in Excel and Tableau to visualize trends and communicate insights to senior stakeholders

▪ Performed economic impact analysis on federal budget changes, assessing effects on employment, grants, and funding flows

▪ Evaluated system-level cost and scalability challenges related to digital evidence management, including storage, data growth, and operational impact

▪ Translated analytical findings into clear recommendations through structured presentations and documentation

▪ Built and maintained enterprise-scale web applications using C#, ASP.NET, JavaScript, and SQL Server, establishing strong full-stack fundamentals

▪ Translated business requirements into technical designs including data models, workflows, and backend logic

▪ Designed and optimized SQL queries and stored procedures to ensure data correctness and efficient processing

▪ Executed large-scale data and document migrations from legacy systems to cloud platforms, ensuring reliability and data integrity

▪ Developed analytics reports and dashboards and validated systems through unit and integration testing, strengthening data-driven engineering practices