Daniel Emery
About Daniel Emery
Daniel Emery is a Senior Data Scientist at Coupa Software, specializing in forecasting, demand planning, and inventory optimization within the supply chain industry.
Title
Daniel Emery currently holds the position of Senior Data Scientist at Coupa Software. He began his tenure at the company in 2020.
Professional Experience
Before joining Coupa Software, Daniel Emery served as a Supply Chain Design Consultant II at LLamasoft, Inc. from 2018 to 2020 in Ann Arbor, Michigan. His role involved devising efficient supply chain strategies. Prior to that, he was a Data Analyst at Appalachian State University in Boone, North Carolina from 2017 to 2018. In this position, Daniel focused on analyzing data to support university initiatives. From 2016 to 2017, he worked as an Engineering Technician at the City of East Lansing in Michigan, where he provided technical support for engineering projects. His career began with a role as a Research Assistant at Stanford University from 2015 to 2016, engaging in data-driven research within the field of geophysics.
Education and Expertise
Daniel Emery has a strong educational background with a Master's degree in Applied Data Analytics from Appalachian State University, completed in 2018. He also holds a Bachelor of Science degree in Geophysics from Stanford University, earned in 2016. His academic credentials have equipped him with expertise in data analysis, geophysics, and applied data analytics, forming a solid foundation for his professional career in data science.
Specializations
Daniel Emery specializes in forecasting, demand planning, and inventory optimization within the supply chain industry. His skills are particularly relevant for developing models that predict future trends and optimize inventory levels, critical for enhancing supply chain efficiency.
Participation in Machine Learning Competitions
Daniel actively participates in machine learning competitions on reputable platforms such as Kaggle, DrivenData, and Numer.ai. His engagement in these competitions showcases his commitment to continuously improving his skills and staying at the forefront of the data science field.