Machine Learning Research Assistant
TextClassification
As a Machine Learning Research Assistant, I worked with supervised and unsupervised learning models to analyze and label business intelligence datasets. My responsibilities included data preprocessing, feature engineering, and evaluating model outputs to improve accuracy. I used Python and Jupyter Notebooks to manipulate data and applied business context to annotate and validate datasets.
• Implemented data curation and cleaned datasets for machine learning labeling tasks.
• Utilized model evaluation metrics to refine labeling standards.
• Contributed to manual review and correction of model predictions on large tabular and text data.
• Ensured labeled data aligned with business intelligence objectives.
As a Machine Learning Research Assistant, I worked with supervised and unsupervised learning models to analyze and label business intelligence datasets. My responsibilities included data preprocessing, feature engineering, and evaluating model outputs to improve accuracy. I used Python and Jupyter Notebooks to manipulate data and applied business context to annotate and validate datasets. • Implemented data curation and cleaned datasets for machine learning labeling tasks. • Utilized model evaluation metrics to refine labeling standards. • Contributed to manual review and correction of model predictions on large tabular and text data. • Ensured labeled data aligned with business intelligence objectives.
2022 - 2023