NLP Intern
OtherTextClassification
As an NLP Intern, I worked on enhancing natural language processing models with a focus on intent classification. My responsibilities included developing and optimizing pipelines and improving model accuracy through data annotation and validation. I utilized a mix of open-source and proprietary tools to automate and assess classification tasks to support AI model training.
• Labeled text queries into 27 specific e-commerce intent categories.
• Validated and annotated training datasets to improve classification precision by 18-25%.
• Deployed annotated data for model training and evaluation using Scikit-learn, spaCy, and NLTK.
• Used Google Cloud and Google Colab for experiment management and model refinement.
As an NLP Intern, I worked on enhancing natural language processing models with a focus on intent classification. My responsibilities included developing and optimizing pipelines and improving model accuracy through data annotation and validation. I utilized a mix of open-source and proprietary tools to automate and assess classification tasks to support AI model training. • Labeled text queries into 27 specific e-commerce intent categories. • Validated and annotated training datasets to improve classification precision by 18-25%. • Deployed annotated data for model training and evaluation using Scikit-learn, spaCy, and NLTK. • Used Google Cloud and Google Colab for experiment management and model refinement.
2024 - 2025