Matthew Brousseau
About Matthew Brousseau
Matthew Brousseau is a Senior Data Scientist with expertise in geospatial timeseries analysis and machine learning. He has worked in various roles across Canada and Finland, including positions at GSTS and Solita, and has a strong academic background in computer science from Dalhousie University.
Current Role at Solita
Matthew Brousseau serves as a Senior Data Scientist at Solita since 2023. In this role, he applies his expertise in data science to deliver insights and solutions that enhance decision-making processes. His responsibilities include analyzing complex datasets and implementing advanced analytical techniques to support various projects within the organization.
Previous Experience at GSTS
Matthew Brousseau worked at Global Spatial Technology Solutions (GSTS) as a Data Scientist from 2019 to 2020 for two months and again from 2021 to 2022 for one year. During his tenure, he focused on geospatial data analysis and contributed to cloud-based projects, utilizing his skills in machine learning and time series analysis.
Teaching Experience at Dalhousie University
Matthew Brousseau held the position of Teaching Assistant at Dalhousie University in 2017 and 2019. In these roles, he assisted in the delivery of computer science courses, providing support to students and contributing to the academic environment. His experience in teaching complements his technical expertise in data science.
Education and Expertise
Matthew Brousseau earned a Bachelor of Science in Computer Science from Dalhousie University, completing his studies from 2015 to 2019. He further advanced his education by obtaining a Master of Computer Science from the same institution, studying from 2020 to 2021. His academic background is complemented by his specialization in geospatial timeseries analysis and GIS, with a strong focus on AIS data analysis using machine learning techniques.
Skills in Data Science
Matthew Brousseau specializes in geospatial timeseries analysis and GIS, with a strong emphasis on AIS data analysis through machine learning and time series analysis methods. He also has a keen interest in data mining, which enhances his ability to extract valuable insights from complex datasets.