Machine Learning Research Assistant
TextClassification
As a Machine Learning Research Assistant, contributed to developing machine learning models for predictive analytics using various data processing techniques. Implemented supervised and unsupervised models on large text datasets and performed data preprocessing and feature engineering tasks. Enhanced model performance and presented insights to stakeholders using interactive dashboards.
• Collaborated on data preprocessing and feature engineering for text data.
• Used supervised (Random Forest, SVM) and unsupervised (K-Means, PCA) methods for model development.
• Evaluated models and improved accuracy through parameter tuning.
• Communicated findings using data visualization tools like Tableau and Power BI.
As a Machine Learning Research Assistant, contributed to developing machine learning models for predictive analytics using various data processing techniques. Implemented supervised and unsupervised models on large text datasets and performed data preprocessing and feature engineering tasks. Enhanced model performance and presented insights to stakeholders using interactive dashboards. • Collaborated on data preprocessing and feature engineering for text data. • Used supervised (Random Forest, SVM) and unsupervised (K-Means, PCA) methods for model development. • Evaluated models and improved accuracy through parameter tuning. • Communicated findings using data visualization tools like Tableau and Power BI.
2022 - 2023