Kriti Yadav, Researcher, RMIT; Data Science Intern, Telecommunications Industry Ombudsman
https://www.linkedin.com/in/kriti-yadav-data-science/
Kriti will show how unstructured customer complaints can be turned into reliable, actionable insights using semantic-scoring and classification pipelines built with Python, sentence transformers, DistilBERT, Azure Machine Learning, Microsoft Fabric, Power BI and LLM-based weak supervision. She'll also cover the human-in-the-loop governance framework, the limitations she hit, and practical recommendations for building trustworthy AI classification systems.
(Starts at 32:20)
