I'm a data science professional with an M.S. in Computer Science from Bowling Green State University, passionate about uncovering insights from complex datasets and using predictive models to drive real-world impact in healthcare, business, and beyond. My background blends strong analytical thinking with hands-on experience in machine learning, data visualization, and predictive modeling.

I've worked on simulation-based research in kidney transplantation, developed ML models for anomaly detection and predictive analytics, and built interactive dashboards using tools like Power BI and Python. Lately, I've been diving deeper into model interpretability, data engineering, and generative AI.

Feel free to Contact Me or check out my Resume to learn more.