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Shashank Sharma

Shashank Sharma

Data Analyst and AI/ML practitioner

Talent
DelhiMember since April 12, 2026
PythonPandasScikit-learnMatplotlibSeabornSQLPower BIRegressionFeature EngineeringLLM EvaluationData AnnotationLabel StudioChatGPTGeminiMultilingual Data
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PythonPandasScikit-learnMatplotlibSeaborn

About

Detail-oriented Data Analyst and AI/ML practitioner with a B.Sc. in Statistics and hands-on experience in data annotation, LLM evaluation, machine learning, and data-driven decision-making. Proficient in Python, SQL, Power BI, and Excel, with a track record of maintaining 95%+ annotation accuracy across large-scale multilingual datasets. Passionate about applying statistical rigor and analytical thinking to build impactful, scalable solutions.

Experience

AI Data Annotator & LLM Evaluator at Invisible Technologies (2026-05 – 2026-09)

  • Evaluate AI-generated responses from LLMs (ChatGPT, Google Gemini) for accuracy, relevance, safety, and naturalness across Hindi and English datasets.
  • Conduct comparative model output analysis to identify edge cases, strengths, and failure modes, directly informing model improvement cycles.
  • Perform high-quality annotation and labeling in adherence to strict project guidelines, supporting production-grade generative AI systems.
  • Execute QA checks to sustain annotation consistency and accuracy at scale across multilingual corpora.

Data Annotation Research Collaborator at Indian Institute of Technology (IIT), Roorkee (2025-10 – 2025-11)

  • Completed a research certificate in Data Annotation for Computer Vision, applying annotation best practices to support ML model training at a premier research institution.
  • Maintained high data quality and accuracy standards aligned with academic research protocols.

General AI Data Annotator at RWS Group (2024-05 – 2024-09)

  • Annotated and labeled diverse datasets (text, image, speech) for AI/ML training pipelines, consistently exceeding 95% accuracy in quality audits.
  • Collaborated cross-functionally with QA teams and project leads to optimize annotation workflows and enforce consistency standards.
  • Gained hands-on experience with annotation platforms including Label Studio and proprietary enterprise tools.
  • Interpreted complex, multi-layered annotation guidelines to ensure cultural relevance and linguistic precision.

Education

Master in Data Science – PW Skills (Physics Wallah) (2023-01)

B.Sc. in Statistics – Asian International University (2021-07 – 2024-08)

Diploma in Civil Engineering (2018 – 2021)

Skills

Data Analyst and AI/ML practitioner

Reviews

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