Summary
Mona Hatami is a data scientist with 8 years of experience applying machine learning and deep learning to real-world business problems, currently building email optimization systems at IBM using Hugging Face Transformers and PyTorch. She has a strong background in energy and building analytics from her engineering roots at Penn State and roles in sustainable design and consulting, where her models delivered measurable energy savings. As a co-founder and instructor she has mentored and guided hundreds of aspiring data scientists, created course content for IBM’s Capstone, and blends teaching with hands-on model development in IBM Watson Studio and AutoAI. Comfortable translating stakeholder needs into KPIs and deployable solutions, she combines product-focused engineering with a knack for turning complex datasets into actionable revenue and cost-reduction insights. An underrated strength is her cross-disciplinary fluency—mechanical engineering through to modern NLP—enabling pragmatic, production-ready solutions.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Mechanical/Architectural Engineering, Master's degree, Mechanical/Architectural Engineering at Penn State University
English, Turkish, Persian