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divya User

@divyauser28

Computational linguistics graduate who improved small-dataset model performance by 30% during a research internship and evaluated NLP models.

Belgium

Message

What I'm looking for

I’m particularly interested in harnessing new competencies and contributing my existing skills to real-world AI challenges.

In my independent research project, I built a Python preprocessing pipeline for a low-resource, multi-label classification dataset and addressed potential data leakage by splitting content at the document level.

I fine-tuned and benchmarked teacher-student model architectures and tested active learning and automatic reweighing strategies. These approaches improved F1 scores for rare labels by 20+ in out-of-domain encoder-only and open-source GenAI models.

During my research internship, I cleaned and analyzed a historical English dataset, visualized results with Matplotlib and Seaborn, and improved a machine learning model trained on a relatively small dataset by 30%. I’m particularly interested in contributing my skills to real-world AI challenges and developing new competencies.

Experience

Work history, roles, and key accomplishments

Research Intern

University of Antwerp

Built foundation skills in detailed cleaning and analysis of a historical English dataset quality by scripting data preprocessing using Python and its associated libraries. Improved the machine learning model performance trained on a relatively small dataset by 30 percent.

Python data preprocessing Data Cleaning Data Analysis Matplotlib SeaBorn Machine Learning