William Furtado
About William Furtado
William Furtado is a Software Engineer Intern currently working at Cambridge Mobile Telematics and holds the position of Co-President at Opportunity Through Data. He studied Applied Mathematics and Computer Science at the University of California, Berkeley, where he also contributed to various roles in data science and technology education.
Work at Cambridge Mobile Telematics
William Furtado is currently employed as a Software Engineer Intern at Cambridge Mobile Telematics. He has held this position since 2021, contributing to projects that focus on data-driven solutions in the telematics industry. His role involves applying software engineering principles to enhance the company's technology offerings.
Education and Expertise
William Furtado studied at the University of California, Berkeley, where he earned a Bachelor's degree in Applied Mathematics and Computer Science from 2019 to 2023. His academic background provides him with a strong foundation in quantitative analysis and programming, essential skills for his current roles in technology and data science.
Background
Prior to his current roles, William Furtado worked at Opportunity Through Data in various capacities, including Deputy Director of Technology and Curriculum, Director of Technology and Curriculum, and Curriculum Developer. His experience spans multiple positions that emphasize technology integration and curriculum development, particularly in the context of data science education.
Achievements in Data Science Education
William has been actively involved in the UC Berkeley Division of Computing, Data Science, and Society as a Berkeley Unboxing Data Science (BUDS) Associate Program Facilitator since 2021. He also served as a Tutor and Academic Intern within the same division, where he helped facilitate learning and support for students in data science, reflecting his commitment to improving equity in the field.
Research and Development Experience
William's research experience includes working as a Data Science Researcher at Goodly Labs and as a Lab Technician/Research Assistant at the University of Massachusetts Dartmouth. His work involved utilizing a machine learning toolkit to identify patterns of violence in government demonstrations, showcasing his ability to apply technical skills to real-world issues.