A results-driven Computer Science engineer with a passion for solving real-world problems through data science, machine learning, and cloud-native development.

From building AI-powered affordability models at Exelon to transforming pharmaceutical research with predictive analytics at NSF, my work spans across data engineering, machine learning, full-stack development, and cloud platforms like AWS, Azure, and GCP. With hands-on experience in Python, React, R, Tableau, and more, I specialize in crafting scalable solutions that drive measurable impact.

Whether it's enhancing user experience, reducing operational costs, or enabling better decision-making through data, I bring a client-centric, innovation-first mindset to every project.       

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