Hatice Mutlu

Interests

Target Audience

Engineering leaders, product managers, and data science teams dealing with noisy, real-world datasets in sectors like infrastructure, logistics, or food-tech, as well as stakeholders who need to understand ML trade-offs without the jargon.

What to Expect

Deep dives into model evaluation and failure modes that go beyond simple accuracy scores. You can expect practical insights on handling tabular, text, and image data, along with mini-tutorials on deploying models via Streamlit and cloud workflows. Hatice shares real-world examples of how predictive modeling and text classification solve specific industry problems, all delivered with the clarity of a career educator who values transparency and rigorous testing.