Pavan Reddy Mogili

I am a recent Data Science graduate from Northeastern University with practical experience and a diverse skill set. My professional journey includes an internship as a Data Scientist at Affinia, where I developed a natural language processing model achieving a 90% accuracy rate in entity matching and relationship extraction. Additionally, I worked as a Full Stack Developer at Cognizant, creating web applications that improved employee training efficiency in data-related subjects by nearly 80%.

My expertise includes Python, Java, R, Machine Learning, and Deep Learning, with experience in Natural Language Processing, Data Engineering, and SQL. I pride myself on my strong foundation in software engineering, enabling me to manage projects from design to deployment effectively, ensuring quality and efficiency.

As a highly motivated professional, I possess excellent problem-solving skills and effective communication abilities. I am committed to continuous learning and self-improvement, driving me to excel in both Data Science and Data Engineering.

I am actively seeking full-time opportunities in Data Science, and Data Engineering, confident in my ability to make a meaningful impact in these roles. With my unique blend of skills and experience, I am eager to contribute to a dynamic professional environment.

My professional journey began at Cognizant Technology Solutions in Hyderabad, India, where I served as a Software Engineer and Data Scientist for over two years. I led a team in developing a data engineering web application, automated data preprocessing pipelines, and optimized ETL processes, among other accomplishments.

Following that, I worked as a Teaching Assistant for a Machine Learning course at Northeastern University, assisting students with Python programming and machine learning concepts and implementing practical coding exercises and data science projects.

Most recently, I interned as a Data Scientist at Affinia Therapeutics in Waltham, MA. There, I developed a Python-based natural language processing model, established a centralized data storage and visualization platform, accelerated data extraction through a web crawler, and deployed machine learning models in AWS, contributing to significant improvements in efficiency, accuracy, and scalability.

My most relevant education includes a Master of Science in Data Science from Northeastern University, where I deeply explored areas such as Supervised and Unsupervised Machine Learning, Natural Language Processing, and Algorithms. Prior to that, I completed my Bachelor of Technology in Electronics from Jawaharlal Nehru Technological University in India, where I was exposed to foundational coursework including Data Structures, Algorithms, Python, and Neural Networks.