Data Science Associate - Helping Hand Foundation
The Data Science Associate supported end-to-end data science activities using Python and standard data analysis libraries to generate insights. The role involved building machine learning pipelines for both classification and regression tasks to improve predictive performance. It required strong skills in data preprocessing, model evaluation, and reproducible research practices using notebooks and version control. • Conducted EDA on large structured datasets with Python, Pandas, and NumPy. • Engineered Scikit-learn pipelines with feature engineering and cross-validation to improve accuracy. • Built automated preprocessing workflows to reduce manual data wrangling and speed up experimentation. • Collaborated on hyperparameter tuning and standardized evaluation protocols with cross-functional teams.