
I am an enthusiastic AI and Machine Learning student with hands-on experience in Python and machine learning projects. I enjoy working with data and building practical solutions while continuously learning new AI technologies and seeking opportunities to grow as an AI professional.
•Preprocessed and analyzed medical dataset with 500+ records using Python (Pandas, NumPy).
•Built Logistic Regression and Random Forest models to classify tumors with improved prediction accuracy.
•Evaluated models using accuracy score, confusion matrix, and cross-validation.