Robert Green
About Robert Green
Robert Green serves as the Director of Customer Analytics Projects at datrics.ai, where he specializes in managing and implementing sustainable projects in the financial industry. He has over eight years of experience in software development and data science, with a focus on consulting in insurance and investment banking.
Current Role at Datrics
Robert Green serves as the Director of Customer Analytics Projects at datrics.ai, a position he has held since 2020. In this role, he leads initiatives focused on customer analytics, working closely with various business units, data scientists, and analysts. His responsibilities include identifying areas for process improvements and implementing solutions using no-code tools for analytics and machine learning. He has successfully reduced the timescales for model creation and deployment by utilizing automation and templates.
Previous Experience in Data Analytics
Prior to his current role, Robert Green accumulated extensive experience in data analytics across several organizations. He worked as a Lead Data Analyst and Lead Process Analyst at Progressive Insurance from 2018 to 2020. Before that, he was a Senior Data Analyst at Sedgwick from 2016 to 2017, and a Data Analyst II at the same company from 2014 to 2016. His career began with an internship at Sedgwick, where he gained foundational skills in data analysis.
Educational Background in Computer Science
Robert Green studied at the New Jersey Institute of Technology, where he earned a Bachelor of Technology (BTech) in Computer Science from 2008 to 2013. He furthered his education by obtaining a Master of Computer Applications (MCA) in Computer Science from the same institution between 2013 and 2014. His academic background has provided him with a strong foundation in software development and data science.
Expertise in Predictive and Diagnostic Analytics
Robert Green specializes in the management and implementation of sustainable projects within the financial industry. He has honed his skills in accurately interpreting data sets to identify patterns and trends that influence predictive and diagnostic analytics. With over eight years of experience in software development and data science, he focuses on consulting in the insurance and investment banking sectors.