With a PhD in Statistics and over 7 years of experience in machine learning, pricing and developing scalable, data-driven solutions with multiple recognitions in insurance, finance and retail industries. My expertise spans risk management, mass feature engineering, time series forecasting, cloud-based MLOps, and implementing generative AI use cases. I am eager to share my knowledge and experiences in transitioning between industries, scaling data science solutions, and navigating the complexities of feature engineering and modeling at scale. Mentorship and coaching has always been a rewarding aspect of my career (https://adplist.org/mentors/ming-zhou-phd).