As a data scientist and full‑stack developer, I thrive on building end‑to‑end solutions that turn raw information into meaningful insights. My projects range from training convolutional and recurrent neural networks to classify frog vocalizations for ecological research, to creating interactive dashboards for watershed analytics using React and Tailwind CSS. I’ve delivered a heart‑disease prediction model with 86 % accuracy and a strong AUC score, and explored multi‑class classification challenges such as student performance prediction and model tuning.
My work demonstrates proficiency in Python (pandas, scikit‑learn, NumPy), machine learning, SQL/database design, and modern front‑end frameworks. I’m passionate about solving real‑world problems—whether improving healthcare decision support, advancing environmental conservation, or creating business analytics tools—and I combine rigorous data engineering with intuitive visualization. When I’m not coding, I enjoy hiking and exploring how data can shed light on the natural world, reflecting my commitment to health, business solutions, and nature conservation.
If you’re seeking someone who can bridge data science and software development and deliver impactful, polished projects, I’d love to connect.