Bhavya Arora Email & Phone Number

I am a dedicated and results-driven graduate student currently pursuing a Master’s degree in Computer Science at the Rochester Institute of Technology, United States. I am a dedicated and results-driven graduate student currently pursuing a Master’s degree in Computer Science at the Rochester Institute of Technology, where I maintain a GPA of 3.64/4. My academic journey has equipped me with a solid foundation in advanced concepts such as Object-Oriented Programming, Data Structures, Big Data Analytics, Machine Learning, Computer Vision, and Artificial Intelligence. Prior to this, I earned my Bachelor's degree in Electronics and Telecommunication Engineering from M.S. Ramaiah Institute of Technology.My technical skills encompass a diverse range of programming languages including Python, Java, C++, and SQL, as well as web technologies such as HTML/CSS and JavaScript. I am proficient in frameworks like Django, Flask, and ReactJS, and have hands-on experience with tools and platforms including Git, Docker, Kubernetes, Google Cloud Platform, and AWS. My expertise extends to machine learning libraries such as TensorFlow and PyTorch, allowing me to undertake complex data analysis and model-building tasks.During my internship at CVS Health, United States, I developed a predictive script using LSTM, achieving an 85.03% accuracy in forecasting service usage, and optimized resource management on Google Cloud. I also led the migration of on-prem systems to BigQuery, reducing errors by 17% through innovative solutions.At McAfee/Trellix, I was a DevOps engineer where I streamlined CI/CD pipelines, cutting script execution time by 40%. I also containerized applications with Docker, improving scalability and system performance through Kubernetes orchestration. My leadership experience includes managing a team and overseeing SCRUM meetings, further enhancing cross-functional collaboration.In addition to my industry experience, I have contributed to research in machine learning and image processing, achieving 88% accuracy in a lung cancer prediction project, which I presented at an IEEE conference.Feel free to reach out to discuss potential collaborations or share insights in the fields of data science, software development, and cloud computing!I am now looking for Spring/Summer 2025 co-op or internship opportunities where I can leverage my skills in SRE, automation engineering, and full-stack development to deliver impactful solutions.