About

Kehan Jiang is a highly skilled Machine Learning Engineer with a passion for creating innovative solutions using cutting-edge technology. Currently working at Pinterest, he is responsible for developing machine learning models and algorithms that enhance user experience and drive business growth. With over 5 years of relevant experience, Kehan has worked for major tech companies like Microsoft and Yahoo, where he held the positions of Data & Applied Scientist II and Data Scientist, respectively. In these roles, he gained extensive experience in data analysis, statistical modeling, and machine learning, which he leverages to create intelligent systems that can learn and adapt to new information. Kehan holds a Master of Science degree in Statistics from the University of Michigan and a Bachelor of Science degree in Mathematics from Renmin University of China. Throughout his academic career, he has consistently demonstrated a deep understanding of complex mathematical concepts and applied them to real-world problems. Kehan's technical expertise includes machine learning, research science, and data science. He is proficient in a range of programming languages and tools, including Python, TensorFlow, and PyTorch. He is also a skilled communicator and collaborator, able to work effectively with cross-functional teams to achieve project goals. Kehan is a driven and dedicated professional who is always seeking new challenges and opportunities to learn and grow. He is committed to staying up-to-date with the latest developments in his field and applying his knowledge to create innovative solutions that have a positive impact on people's lives.