Burton McFarland

Burton McFarland has a diverse and extensive work history. Burton most recently worked at Kumo.AI as a Forward Deployed Engineer starting in February 2023. Prior to that, they were the Director of Data Science, Professional Services at DataRobot from December 2019 to February 2023. In this role, their responsibilities included leading the data science post sales team for federal customers and utilizing the DataRobot platform to move machine learning use cases from idea to production.

Before their time at DataRobot, Burton worked at Publicis Sapient as a Senior Data Scientist from November 2016 to December 2019. In this position, they led Data Science teams in implementing machine learning techniques for clients, covering the entire data science process.

From January 2013 to October 2016, Burton served as the Vice President of Analytics at Somete Technology Group, LLC. In this role, they were involved in designing, building, and testing the company's proprietary analytics engine, ASCENT. Burton utilized various algorithms and techniques to analyze complex data sets and gain insight into market activities.

Burton began their career at Sapient Government Services in April 2005 as a System Developer. Over the course of seven years, they transitioned into the role of IT consultant, assisting clients in defining their business needs and implementing technology solutions. Burton also spent a year helping non-profit organizations optimize their digital assets to support their missions.

Overall, Burton has a strong background in data science, machine learning, and technology consulting, with experience in various industries and sectors.

Burton McFarland obtained their Bachelor of Science (BS) degree in Game Development from Full Sail University in the years 2001 to 2004. Burton later pursued further education and earned a Master of Arts (M.A.) degree in Applied Economics from The Johns Hopkins University during the period of 2009 to 2012. In addition to their formal education, Burton McFarland has also obtained several certifications from Coursera, including Convolutional Neural Networks in July 2018, Sequence Models in June 2018, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization in September 2017, and Neural Networks and Deep Learning in September 2017.