Arop Kuol

Aspiring Data Scientist / ML Engineer skilled in Python, data analysis, APIs, and scientific computing. Ex-
perienced in building end-to-end ML pipelines, full-stack apps, and analytical reports. Passionate about using
data to solve scientific, engineering, and AI-related challenges.

My experience centers on building end-to-end Machine Learning pipelines, most notably a Kepler Exoplanet Classification Pipeline where I achieved 91.85% accuracy after rigorous feature engineering. I possess strong skills in data analysis (pandas, NumPy, Matplotlib), API integration (e.g., YouTube Music API for a full-stack app), and creating user-friendly interfaces with Streamlit (for an analytical tool like FM Moneyball). I am adept at data cleaning, model training/evaluation, and producing technical reports, and I am actively expanding my knowledge through the IBM Data Science Professional Certificate.

I am currently completing my final year of BSC of Physical Sciences at Sefako Makgatho Health Sciences University with expected graduation in 2027