Matthew Wolfe has a diverse work experience spanning various industries. Matthew is currently working at PeopleReady as the Director of Data Science and Machine Learning. Prior to this role, they were a Lead Machine Learning Engineer at the same company.
Before joining PeopleReady, Matthew worked at LogMeIn as a Staff Data Scientist and later as a Sr. Data Scientist. In these roles, they specialized in software engineering, machine learning algorithms, predictive analytics, and sales analytics. Matthew also has experience in territory design and management, automation of manual tasks, and manipulation of Salesforce using Python.
Matthew also worked at Pegasystems as an Order Management Specialist and had a travel sabbatical as part of their international experience. Matthew was also an Operations Specialist at TIBCO Software Inc., where they managed forecasting and financial analysis for the eastern half of the US.
In the earlier stages of their career, Matthew worked as an Assistant Media Planner at Hill Holliday, where they utilized data analytics to create visualizations and analyzed behavioral patterns. Matthew also had internships at Rome Snowboard Design Syndicate and Wolfe's Tuning, where they gained experience in marketing, sales, and collaboration with outdoor companies.
Matthew's work experience also includes being a Summer Teacher at St. John's Preparatory School. Overall, Matthew Wolfe has a strong background in data science, machine learning, analytics, and operations management.
Matthew Wolfe obtained their Bachelor of Science degree in Business Administration and Management, General from Saint Michael's College from 2007 to 2011. Matthew also attended Universidad de Las Americas in 2010 to pursue a BS in Business Administration. Matthew received their Highschool Degree from St. John's Preparatory from 2004 to 2007. Additionally, they have obtained various certifications, including the AWS Certified Machine Learning - Specialty from Amazon Web Services in 2022 and multiple data-related certifications from DataCamp.
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