Nandini R

Computer Science (Data Science) graduate with hands-on experience in data capture, cleaning, validation, and research across enterprise datasets. Highly detail-oriented and analytical, with strong problem-solving and numerical accuracy, and proficiency in SQL, MS Excel, Google Sheets (advanced formulas via AppScript automation), Google Drive, and Power BI/Looker Studio for data management and maintaining accurate data repositories. Strong web-research and communication skills, with experience collaborating across global, remote teams and independently delivering high-quality outputs within deadlines.

Data Science Intern at KodNest (2026-03 – Present)

• Performed accurate data capture, cleaning, and validation across structured financial datasets using Python and SQL, maintaining high data accuracy for downstream analysis and reporting.
• Designed and managed SQL databases for structured financial data, maintaining and improving data repositories through exploratory data analysis and feature engineering.
• Engineered Google AppScript-based automation for Google Sheets data ingestion and reporting workflows, eliminating manual data-entry tasks and significantly reducing turnaround time.

AI Agent Developer Intern at Roman Technology (2026-01 – 2026-04)

• Researched and analyzed structured datasets and knowledge bases to support automation pipeline design, validating data accuracy and consistency across integrated systems.
• Collaborated cross-functionally with global, remote teams across the development lifecycle — from data ingestion and schema design through API integration — meeting deadlines independently.
• Applied systematic research and analytical methods to translate business requirements into validated workflows, improving accuracy and reducing manual processing overhead.

Generative AI Intern at Learner's Byte (2026-02 – 2026-04)

• Built automation workflows that captured, validated, and processed structured data via REST API integrations, ensuring consistent and accurate outputs across reporting pipelines.
• Conducted research on data tools and documentation best practices, communicating findings clearly to technical and nontechnical stakeholders.
• Delivered high-quality outputs within defined timelines while collaborating with remote, cross-functional teams.

B.E. in Computer Science (Data Science) – Atria Institute of Technology, VTU (2026-05)