Data Science and Machine Learning Intern at Edureka-Conducted exploratory data analysis to uncover valuable insights and trends.-Cleaned and preprocessed large datasets to ensure data quality and reliability.-Developed machine learning models using techniques such as regression and clustering.-Implemented hyperparameter tuning and model evaluation to optimize performance.-Collaborated with cross-functional teams to align on project goals and objectives.-Presented findings through engaging visualizations and detailed technical reports.-Gained hands-on experience with tools like Python and TensorFlow.-Enhanced understanding of data pipelines and cloud deployment using platforms like AWS.

Fraud Investigation and Concession abuse prevention team-Utilized analytical skills to measure and investigate fraudulent activities, identifying patterns through data analysis.-Prepared clear and concise investigation reports, documenting findings and recommended actions.-Collaborated with cross-functional teams, including legal and compliance, to resolve issues and implement preventative measures.-Maintained strong customer service skills, effectively communicating with customers to address concerns and provide support.-Gained proficiency in fraud detection tools and reporting methodologies to enhance investigation processes.