Sree Vagdevi Mattaparthi

Data Engineer | Data Scientist | AI Enthusiast Hi there! I’m Sree Vagdevi Mattaparthi — a data professional with hands-on experience turning raw data into intelligent systems and actionable insights. I specialize in building scalable ETL pipelines, designing robust data architectures, and applying machine learning to real-world challenges. From optimizing donor fund allocation in healthcare to enhancing asset price predictions using deep learning, I enjoy working at the intersection of data engineering and data science. Currently, I’m contributing to Project 990, where I develop automated pipelines and NLP solutions to improve philanthropic impact. I work with advanced models like SpaCy, BART, RoBERTa, and LLaMA to solve complex classification problems and support data-driven decision-making. I recently completed my Master’s in Data Science at Indiana University Bloomington. With a background spanning healthcare, finance, and supply chain, I’m driven by the potential of data to spark innovation and solve meaningful problems. Let’s connect if you’re into smart systems, practical AI, or just enjoy conversations around ML, cloud architecture, or data visualization!