H

Hima

About

Detail

Hyderabad, Telangana, India

Timeline


work
Job
school
Education

Résumé


Jobs verified_user 0% verified
  • Trackmind
    Research Analyst / Ml Associate
    Trackmind
    Jan 2025 - Current (1 year 8 months)
    • Conduct market and industry research using publicly available news, reports, and proprietary sources to extract key data points. • Gather and maintain structured datasets for public and private companies, ensuring high accuracy and consistency. • Build and manage quantitative datasets and forecasting inputs, supporting trend analysis and strategic planning. • Perform data validation and quality checks, improving dataset reliability and reducing inconsistencies by 20%. • Identify and communicate market trends and insights to stakeholders and regional analysts. • Support translation/localization of data from multiple sources into standardized formats for analysis. • Deliver outputs aligned with individual and team quality targets and timeli
  • Centific
    Data Annotator / Ml Associate
    Centific
    Jan 2020 - Jan 2024 (4 years 1 month)
    • Executed NLP data annotation (NER, text classification) on large-scale unstructured datasets. • Ensured 95%+ data accuracy through structured validation and quality assurance processes. • Worked with multilingual datasets, supporting data normalization and consistency. • Improved workflow efficiency by 15% through process optimization. • Collaborated with cross-functional teams to enhance annotation guidelines and dataset usability.
Education verified_user 0% verified
  • Andhra University
    B.Tech in Computer Science Engineering
    Andhra University
    Jan 2014
    CGPA: 7.26
Projects (professional or personal) verified_user 0% verified
  • M
    Market Research & Competitive Intelligence
    • Collected and analyzed data from news sources, company reports, and industry publications. • Delivered structured insights on market trends, competitor positioning, and growth opportunities. • Supported market sizing and forecasting analysis for strategic decision-making.
  • N
    NLP Data Analysis & Model Support
    • Led data annotation, validation, and error analysis to improve dataset quality. • Enhanced AI model performance through structured data preparation and validation frameworks.