Dharani Guda

• Designed and developed an end-to-end research analytics pipeline for the PSI project using Python, Neo4j, and graph data science techniques to analyze interdisciplinary research collaboration networks. • Engineered automated data preprocessing and author canonicalization workflows for 3,000+ publication records, transforming raw research metadata into structured graph datasets for large-scale co-authorship and topic analysis. • Implemented graph-based analytics including centrality metrics, Louvain community detection, collaboration network analysis, and interdisciplinary research (IDR) measures such as Shannon entropy, Blau index, and Rao-Stirling diversity. • Collaborated with faculty and research teams to generate technical documentation, topic-level collaboration insights, and data-driven reports that supported research evaluation, strategic decision-making, and institutional collaboration analysis.

Mentored undergraduate students to strengthen core academic success skills such as time management, organization, note-taking, and exam preparation through weekly one-on-one sessions.

• Built and maintained backend workflows and RESTful APIs for enterprise-scale banking applications using C# and .NET MVC, supporting production-critical financial use cases. • Integrated backend services with Angular-based front-end components, enabling seamless data flow and improving end-user reliability across core application features. • Automated build, test, and release pipelines using Azure DevOps CI/CD, reducing deployment time by ~30% and improving release consistency and rollback reliability. • Implemented unit and integration testing strategies to improve system stability, accelerate issue diagnosis, and reduce production defects. • Collaborated with cross-functional engineering and QA teams to deliver features end-to-end, from design and development through deployment and post-release support.

• Developed a partner onboarding portal to support webhook configuration and secure data access for external banking partners, enabling scalable third-party integrations. • Designed and implemented RESTful APIs to streamline onboarding workflows, reducing partner setup time by over 50%. • Built backend services handling validation, configuration, and integration logic for partner-facing systems in a regulated enterprise environment. • Worked closely with senior engineers to deliver production-ready features, gaining hands-on experience with large-scale codebases and enterprise development practices.

• Built and deployed an NLP-based chatbot using Python and the RASA framework to automate customer query handling. • Designed conversation flows, refined intents and entities, and optimized dialogue rules, improving query resolution accuracy by approximately 35%. • Integrated the chatbot with a MySQL database to store conversation data and support analysis and iterative model improvement. • Focused on deploying ML-driven features as usable systems rather than standalone models, emphasizing reliability and real-world applicability.

• Worked as a Data Science Intern on the “Career Assistant” project, contributing to the development of ML- and NLP-based features for intelligent career guidance applications. • Built and deployed an NLP-driven chatbot using Python and the RASA framework to automate user query handling and provide contextual responses. • Designed conversation flows, refined intents and entities, and optimized dialogue rules, improving query resolution accuracy by approximately 35%. • Integrated the application with MySQL and Elasticsearch databases to support data storage, search, and iterative model improvement, focusing on deploying ML features as usable, production-ready systems.

Coursework: Software Engineering, IOT, Design and Analysis of Algorithms, Automated Learning and Data Analysis, Neural Networks, DBMS, Foundations of Data Science, HCI, Building Game AI, Software Security.

Relavant Coursework: Data Structures, Object Oriented Programming, DBMS, Computer Networks, Introduction to Data Analystics, Machine Learning, Web Technologies