About Me
​I am a Clinical and Public Health Data Scientist who helps healthcare organizations and clinical researchers bridge the gap between raw medical data and the predictive insights needed to improve patient outcomes and population health strategies.
With a deep background in medical science, public health, and Neuroscience, I combine clinical domain expertise with advanced capability in Health Data Science, Machine Learning, and AI.
While I specialize in the complexities of Neurological Outcomes—ranging from stroke epidemiology to neuro-infectious diseases—my data-driven methodology is highly scalable across the broader healthcare landscape. Whether working on large-scale secondary datasets or clinical trials, I am committed to aligning data science projects with real-world health priorities and measurable impact.
​My strength lies in translating complex biological and clinical data into clear, strategic insights that help scale the impact of healthcare research and delivery.
This portfolio showcases my projects at this intersection.
