Dhanyapriya Somasundaram

WORK HISTORY

EDUCATION

ABOUT DHANYAPRIYA SOMASUNDARAM

About Me:I am Dhanyapriya Somasundaram, a Data Scientist and Aerospace Stress Analyst at Spirit AeroSystems, with a strong interdisciplinary foundation in Artificial Intelligence, Data Science, and Aerospace Engineering. Based in North Carolina, USA, I specialize in applying advanced analytics and structural engineering principles to solve certification-critical aerospace challenges.Previously, I was selected as a Google Trusted Tester for Project ASTRA, where I collaborated with Google’s product teams to evaluate early-stage AI and data science systems, conduct usability testing, and deliver actionable feedback influencing pre-release product development. Technical Proficiency:Proficient in Python, SQL, Julia, and R, with strong expertise in Machine Learning, Deep Learning, NLP, Time Series Forecasting, and Computer Vision. I actively utilize Tableau, PowerBI, Microsoft Azure, Google Earth Engine, CyVerse, and STAC API for large-scale analytics and geospatial data engineering. Professional & Project Experience:Spirit AeroSystems: Perform FEA-based structural validation on Airbus A350-900, and programs, supporting composite and metallic stress analysis, non-conformance resolution, and certification documentation with Airbus FDT teams.Google – Project ASTRA: Conducted confidential AI system testing, feature evaluation, and user experience validation for next-generation data science products.University of Arizona (CyVerse): Led the development of the Awesome Google Earth Engine Community Catalog, integrating 1,680+ datasets using STAC API to enhance global geospatial data accessibility. Education & Advanced Training:I hold a MS in Data Science from the University of Arizona with a perfect GPA of 4.0/4.0 as a Department Topper and a Graduate Teaching Assistantship for Applied NLP. I earned my BE in Aeronautical Engineering from Anna University as a University Gold Medalist. Leadership & Professional Engagement:Vice-President of the DATA CATS Club and an active contributor to AI for Society and Women in Data Science (WiDS). Recognized as a Microsoft Ignite 2024 Research Panelist, Grace Hopper Celebration (GHC 2024) Scholar, and US-RSE 2024 Attendee. Career Aspirations:I am committed to advancing AI-driven engineering systems, aerospace structural certification, and applied research innovation with a strong focus on sustainability, safety, and ethical AI. Let’s Connect:I welcome meaningful professional connections and collaborations in AI, data science, aerospace engineering, and applied research.