Data Science Intern (Columbia University) — dataset curation and analysis support
Collected and curated large-scale datasets to support machine learning workflows, improving overall data quality by 35%. Applied Python-based preprocessing and exploratory analysis to understand the data and refine downstream model inputs. Worked with researchers to support AI model development and improve robustness and reliability by 28%. • Dataset collection and curation • Exploratory data analysis in Python/Pandas • Data quality improvement • Research collaboration for model support