Nidhi Arora
@nidhiarora
Detail-oriented Data Annotator with expertise in Japanese data handling.
What I'm looking for
I am a detail-oriented Data Annotator with hands-on experience in data labeling and annotation. My previous role at CogitoTech LLC involved annotating Japanese data, which honed my skills in meticulous data handling and understanding cultural nuances. I possess strong analytical skills and am fluent in both Japanese and English, ensuring high-quality and contextually accurate annotations.
In my recent internship, I accurately labeled and categorized large datasets, contributing to the success of machine learning projects. I also developed lesson plans and instructional materials as a Japanese Language Teacher, enhancing language acquisition for students of various age groups. My commitment to maintaining high-quality standards ensures the accuracy of data to support machine learning models and educational goals.
Experience
Work history, roles, and key accomplishments
Japanese Language Teacher
Furusawa Language Academy
Jan 2024 - Present (1 year 5 months)
Taught Japanese language courses to students of various age groups and proficiency levels. Developed lesson plans and conducted interactive activities to enhance language acquisition, while providing personalized support to help students achieve their goals.
Japanese Data Annotator (Internship)
CogitoTech LLC
Sep 2023 - Nov 2023 (2 months)
Accurately labelled and categorized large datasets according to project guidelines, contributing to the success of machine learning models by building and annotating a dataset of over 100,000 images.
Education
Degrees, certifications, and relevant coursework
Indira Gandhi National Open University
Bachelor of Arts, English
2021 - 2024
Research Project on Literary Theory developed a theoretical framework that incorporates key concepts from second-wave feminism, such as patriarchy, gender roles, and the male gaze. Selected a range of literary texts from different periods and genres for analysis, including works by Virginia Woolf, Toni Morrison, and Margaret Atwood.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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