Machine Learning Research Assistant
As a Machine Learning Research Assistant, I participated in developing and deploying machine learning models for predictive analytics. My responsibilities included data preprocessing, feature engineering, and evaluating supervised and unsupervised learning models on large text datasets. I collaborated closely with team members to improve model performance and supported business intelligence initiatives through refined data insights. • Performed data preprocessing and feature engineering in Python and Jupyter Notebooks • Evaluated and optimized Random Forest, SVM, and clustering models • Communicated findings via data visualizations and dashboards in Tableau and Power BI • Improved model accuracy by fine-tuning parameters and hyperparameters