Riya Gunda

• Set up CI/CD pipelines with GitLab, PostgreSQL persistence, and Docker deployment for the Next.js Scorecard system • Improved pipeline by disabling telemetry and implementing multi-stage Docker builds, reducing build time by 18% • Automated database backup and integrated Black Duck for security scans, ensuring 100% recovery during tests • Worked with backend and UI teams to design models and integrate APIs for data exportation to Google workspaces

• Built ETL pipelines for 13K+ real estate records with feature engineering in Python(Pandas, NumPy, Scikit-learn) • Streamlined data validation processes, reducing ETL errors by 30% • Applied outlier detection, PCA, and cross-validation to reduce data noise and improve model interpretability • Optimized regression models for predictive accuracy and delivered actionable insights in reports

• Migrated legacy codebase to modern React framework to enhance application stability and reduce server load • Optimized application navigation by refining React components and route configurations, reducing page load times by 15% • Achieved a 98% unit testing pass rate and introduced integration testing for production reliability • Participated in peer code reviews to ensure version control best practices with Git and speed up releases

• Conducted user sentiment analysis on feedback received from Verizon's CNS (Check Network Status) platform, utilizing natural language processing techniques • Employed BERTopic framework in Python to topic model comments, categorizing them to aid Verizon in addressing network issues effectively • Analyzed the distribution of comments across categories to gauge the prevalence and nature of network-related concerns • Contributed insights to enhance Verizon's understanding of user experiences and prioritize network maintenance and improvements

Working on an interactive mapping system that would act as a comparative tool to allows students to compare modern and ancient maps. We hypothesize that the interactive map comparison tool will help students understand how individual countries developed their perception of other countries, which in turn facilitate student's learning to understand how the concept of nation and modern international relationships have evolved. Working in collaboration with NC State's History department.

The Junior Academy is a community of exceptional students, STEM experts, and companies around the world dedicated to designing innovative solutions to global challenges that are targeted towards attaining the United Nations Sustainable Development Goals.. With a global acceptance rate of 5%, I am honored to have been a member of this prestigious Academy of Sciences.

Relevant coursework: Introduction to Computing - Java, Software Development fundamentals -Java, Discrete Math, Automata and computability, Algorithms and Data Structures, C, Probability and Statistics, Calculus I/II/III, Intro to AI, Machine Learning, Operating Systems Deans list in Fall 2022, Spring 2023, Fall 2023, Spring 2024, and Spring 2025.