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Naufal H. — Junior Data Annotator from Indonesia

Naufal H.

Junior Data Annotator

Indonesia 1-2 years
Open to offersNew to Platform
Languages
EnglishIndonesian
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About

Naufal H. is a recent graduate in Informatics Engineering from Universitas Bengkulu, showcasing a strong interest in fields such as Business Analytics, Big Data, and Machine Learning. Currently working as a Data Annotator at Thoth AI on a contractual basis, he has exhibited exceptional proficiency by annotating an average of 170 conversations daily with 98% accuracy. His ability to maintain precise standards is further evidenced by collaborative work with cross-functional teams to streamline workflows, consistently achieving high performance targets. Previously, he engaged as a Website Developer for Universitas Bengkulu, developing their Computer Science Department's English website profile to meet ACQUIN accreditation requirements, contributing to the accreditation success. Additionally, he has completed the Google Data Analytics specialization, furthering his skills in Data Visualization and SQL. Naufal has honed his expertise by working with extensive data sets, demonstrating his strength in Data Cleaning and analytics to foster meaningful insights.

Experience

  • Data Annotator

    Thoth AI · 2024 — Present
    Annotated approximately 170 conversations each day for the client’s AI system, utilizing around 50 unique labels while maintaining strict quality standards with an average accuracy of 98% weekly. Participated in weekly calibration meetings to ensure annotation accuracy, achieving a consistent rate of 95%. Collaborated with cross-functional teams to optimize workflows, resulting in the completion of 90% of targets ahead of schedule.
  • Website Developer

    Universitas Bengkulu · 2022 — 2022
    Created an English version of the Computer Science Department website profile to meet ACQUIN accreditation standards, successfully delivering all necessary content within 30 days. Managed data collection files and generated reports for website requirements, contributing to enhanced data accuracy across two projects.

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