Excited to serve as a Teaching Assistant for Associate Professor Dr. Bahareh Rahmani ma’am in Predictive Modeling course, actively involved in grading student assessments and fostering a collaborative learning environment. Passionate about empowering students in the field of predictive modeling. #TeachingAssistant #PredictiveModeling #Education #slu

• Developed a deep understanding of quantum machine learning during a challenging internship, enabling me to explore cutting-edge applications at the intersection of quantum computing and artificial intelligence.• Successfully led a data-driven project, "Medical Insurance Forecast," which involved model selection and comprehensive evaluation using metrics such as Accuracy, RMSE, ROC, AUC, Confusion Matrix, Precision, Recall, and F1 Score to predict medical insurance charges.• Demonstrated strong analytical and problem-solving skills by optimizing the model to achieve a remarkable accuracy of 86.86% for predicting medical charges, enhancing insights into the complex interplay of variables in the healthcare sector.