Nathaniel Whittingham
About Nathaniel Whittingham
Nathaniel Whittingham is a Machine Learning Engineer and Team Lead at FreshBooks, with a diverse background in data science and research. He has held various roles in notable companies and educational institutions, focusing on machine learning, data analysis, and agricultural economics.
Work at FreshBooks
Nathaniel Whittingham has held multiple positions at FreshBooks, including Machine Learning Engineer, Team Lead, and Senior Data Scientist. He began his tenure at FreshBooks as a Data Scientist from 2019 to 2021 in the Toronto, Canada Area. He later transitioned to a Machine Learning Engineer role from 2021 to 2022 in London, England. Currently, he serves as Machine Learning Engineer, Team Lead since 2022. During his time at FreshBooks, he developed company-wide engagement metrics to benchmark the performance of marketing, product, and sales strategies. He also led an initiative to build and develop interactive web applications for machine learning models to enhance understanding and drive adoption within the company.
Education and Expertise
Nathaniel Whittingham studied at the University of Guelph, where he earned a Bachelor of Science (BSc) in Agricultural Economics from 2008 to 2012. He furthered his education at the same institution, obtaining a Master of Science (MSc) in Agricultural Economics from 2015 to 2017. His academic background provides a strong foundation for his expertise in data science and machine learning, which he has applied in various roles throughout his career.
Background
Nathaniel Whittingham's professional background includes diverse roles in data science and research. He worked as a Research Assistant at the University of Guelph from 2016 to 2017, and as a Graduate Teaching Assistant from 2015 to 2017. His experience also includes a position as a Technology Development Associate at Monsanto Company in 2013 and as a Behavioural Data Scientist at BEworks in 2019. Additionally, he has held various roles at BEworks, including Research Analyst and Research Analyst Intern. His international experience includes teaching English in Korea in 2015.
Achievements
During his career, Nathaniel Whittingham has utilized advanced statistical techniques, such as linear mixed modeling in R and Python, to forecast company performance metrics during the COVID-19 crisis. His contributions at FreshBooks included developing metrics for marketing, product, and sales strategies, as well as leading initiatives to create interactive web applications for machine learning models. These efforts have contributed to enhancing understanding and driving adoption of machine learning solutions within the organization.