AI Model Training Specialist (Independent Projects & Research)
Designed and trained supervised and unsupervised machine learning models for supervised classification tasks using Python libraries. Curated and preprocessed large datasets to improve accuracy and generalization while building NLP pipelines for sentiment analysis and text classification. Evaluated model performance with cross-validation, confusion matrices, and A/B testing techniques. • Supervised and unsupervised model training for NLP text classification and sentiment analysis. • Dataset curation and preprocessing to support labeling-quality improvements. • Model evaluation using cross-validation and confusion matrices. • Experimentation using A/B testing to assess performance changes.