Vaishnavi S.

Key Skills

Freelancer Overview

During my MSc in Astrophysics, I worked extensively with large-scale scientific datasets that required structured review, data validation, categorisation, and quality control. My work involved analysing both observational and simulated data, including querying and cross-referencing information from established astronomical databases such as NASA’s MAST (Mikulski Archive for Space Telescopes) and the SIMBAD astronomical database. I frequently verified entries across multiple trusted sources, identified inconsistencies, and ensured data accuracy before any interpretation or downstream analysis. Alongside data handling, I regularly evaluated complex and unstructured information, applied consistent criteria to classify and organise datasets, and documented outputs in a clear, structured format. This strengthened my ability to follow annotation guidelines, maintain consistency across large volumes of data, and apply careful attention to detail when assessing information quality. These experiences closely align with AI training and data annotation workflows, particularly in tasks involving content evaluation, label consistency, fact-checking, classification, and quality assurance across structured and semi-structured datasets.

Labeling Experience

Education

Work History