Pertamina University
Bachelor of Computer Science, Computer Science
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I have experience working with AI training data through machine learning and NLP research projects involving large structured and unstructured datasets. My work includes text preprocessing, data cleaning, categorization, validation, and contextual analysis to ensure data consistency and quality for AI model development. During my internship at Pertamina University, I worked on a Ministry of Higher Education, Science, and Technology project focused on developing an automated thesaurus from accreditation assessors’ contextual comments. This project involved handling and organizing textual datasets, identifying contextual relationships between terms, reviewing annotation consistency, and preparing data suitable for NLP and AI training purposes. In addition, I have experience supporting machine learning projects through dataset preparation, feature organization, analytical reporting, and result validation. I am proficient in Python, TensorFlow, and PyTorch, with strong attention to detail and the ability to follow structured guidelines accurately when working with training data. My background in research also strengthened my ability to maintain labeling consistency, review data quality, and work efficiently with repetitive but detail-sensitive tasks commonly required in AI data annotation and model training workflows.
Bachelor of Computer Science, Computer Science
Research Assistant
Student Buddy (International Exchange Support)