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With a doctorate in business administration (business intelligence & data analytics) and a master’s in information systems from UMBC, I’ve always been driven by curiosity and a love for solving complex problems through data. My academic journey helped me build a strong foundation in analytics, machine learning, and cloud technologies, while also shaping my interest in transforming raw data into insights that fuel smarter decisions. Professionally, I’ve led impactful projects across healthcare, finance, and technology domains. At UMBC, I reduced prescription costs by 15% and saved $500K annually by optimizing Medicare Part D workflows using SQL and Python. While at WB Solutions LLC, I boosted sales efficiency by 40% through operational data analysis and improved reporting speed by optimizing ETL pipelines. I also created interactive Power BI dashboards powered by Python, which drove user adoption and elevated decision-making. At Perficient Inc., I managed healthcare data migrations to Databricks with 98% data integrity, reducing retrieval time by 40% and enabling real-time analytics at scale. Looking ahead, I’m seeking full-time roles in data science, business intelligence, or analytics where I can continue applying my skills to solve real-world challenges. I'm particularly excited by opportunities that allow me to build scalable data solutions, work with cloud platforms like Azure and Snowflake, and collaborate with cross-functional teams to drive strategic insights. My goal is to grow into a leadership role where I can shape data strategies and mentor emerging analysts. If you're looking for someone who’s not just data-driven but impact-focused, I’d love to connect.
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