ML Learner & AI Researcher (Self-Directed/Online)
As an ML Learner and AI Researcher, you completed a structured ML learning roadmap and applied those concepts to practical modeling and evaluation workflows. You trained and evaluated models on real-world datasets using common ML/NLP tooling and assessed performance through model evaluation pipelines. The work supports building training and evaluation datasets and improving modeling quality for downstream AI tasks. • Completed a 40-week ML learning roadmap covering supervised learning, deep learning, NLP, and MLOps. • Trained and evaluated models using scikit-learn, TensorFlow, and Hugging Face Transformers. • Applied ML for text classification, sentiment analysis, and model evaluation pipelines. • Focused on practical experimentation to improve model training outcomes.