Chapter meeting -

Becoming a data scientist depends on acquiring deep knowledge of a diverse set of technical tools, methods, and techniques. But all of that is often not enough for building a successful career. In this talk, I will be sharing some of the non-technical lessons that I have learned over the years which have helped me in my career; lessons that have arguably been as important as the technical know-how.

• The chapter meeting will be held at Dedman Life Science Building 131, SMU. 

• The parking permit is available upon request.

Hossein Zahed lead a team of amazing data scientists who design and build AI products that provide more people with financial choices and possibilities. A statistician by training, he has extensive experience with learning algorithms (cart, random forest, gradient boosting, deep learning, …), statistical modeling (regression, linear and non-linear models, …), LLMs and GenAI, testing (A/B tests, DOE), cloud computing, data strategy, credit risk, and pricing. He is also a Model Risk Officer, responsible for oversight and risk management of machine learning and AI tools in a 2nd line capacity.