Matthew Murman
About Matthew Murman
Matthew Murman is a Senior Data Analyst at FloSports, where he has worked since 2019. He holds a Bachelor of Science in Applied Mathematics from the University of California, Davis, and has expertise in programming languages and visualization tools.
Work at FloSports
Matthew Murman has been employed at FloSports as a Senior Data Analyst since 2019. In this role, he applies his analytical skills to support data-driven decision-making within the organization. His responsibilities include analyzing large datasets, generating insights, and creating visualizations to communicate findings effectively. Matthew's work contributes to enhancing the overall performance and strategic direction of FloSports.
Education and Expertise
Matthew Murman earned a Bachelor of Science degree in Applied Mathematics from the University of California, Davis, where he studied from 2016 to 2019. His education provided him with a solid foundation in quantitative analysis and problem-solving. He possesses expertise in programming languages such as Python, SQL, C++, Matlab, and R, which he utilizes in his data analysis work. Additionally, he is skilled in various visualization tools, including Tableau, Matplotlib, Seaborn, and Plotly.
Background
Before joining FloSports, Matthew worked as a Courier for DoorDash in Livermore, CA, from 2016 to 2017. This role provided him with experience in logistics and customer service. His interest in data science developed through independent studies in statistics and computer science, which laid the groundwork for his current career as a data analyst.
Technical Skills
Matthew Murman has a strong foundation in machine learning techniques, including Linear and Logistical Regression, Support Vector Machines (SVM), Random Forests, Principal Component Analysis (PCA), and K-Nearest Neighbors (KNN). These skills enable him to build predictive models and analyze complex datasets, enhancing his contributions to data analysis projects.
Personal Interests
Outside of his professional career, Matthew enjoys playing and watching soccer, with a particular affinity for AC Milan. He aims to maintain a balance between his career in data analysis and personal interests, dedicating time to play soccer weekly. This balance reflects his commitment to both his professional growth and personal well-being.