Dan Siddall

Dan Siddall is a skilled data scientist with extensive experience in developing advanced models and automating business processes. Currently serving as a Staff Data Scientist at Clearwater Analytics since October 2019, Dan developed a classification model for predicting actions on incoming financial transactions and utilized generative AI for process improvement. Prior to this role, Dan worked at HP from June 2004 to October 2019, holding various positions including Data Science Engineer, Cloud Services Architect, and Lead Software Engineer, where significant contributions included neural network model development for image anomaly detection and cloud service design. Earlier experience at SCP Global Technologies as a Lead Robotics Software Engineer involved architecting and developing software for robotic systems in semiconductor applications. Dan holds a Master’s degree in Data Analytics from the Georgia Institute of Technology and a Bachelor's degree from Boise State University.