Kumari Gadi

Developed and evaluated machine learning models using Python and Scikit-learn by performing data preprocessing, exploratory data analysis (EDA), feature engineering, and feature scaling on real-world datasets. Implemented and compared classification algorithms including Logistic Regression, Decision Tree, Random Forest, KNN, and SVM to identify the best-performing model for prediction tasks. Evaluated model performance using Accuracy, Precision, Recall, F1-Score, and Confusion Matrix while documenting experiments and maintaining project version control using GitHub.

Machine Learning Intern - Skill Dzire

• Developed and evaluated machine learning models using Python and Scikit-learn by performing data preprocessing, exploratory data analysis (EDA), feature engineering, and feature scaling on real-world datasets.
• Implemented and compared classification algorithms including Logistic Regression, Decision Tree, Random Forest, KNN, and SVM to identify the best-performing model for prediction tasks.
• Evaluated model performance using Accuracy, Precision, Recall, F1-Score, and Confusion Matrix while documenting experiments and maintaining project version control using GitHub.

Bachelor of Technology - Computer Science & Engineering (AI & ML) - Sasi Institute of Technology and Engineering (2027)