Daniel Saad

Daniel Saad is a Data Research Analyst specializing in Machine Learning at Sensibill, a Q2 Company, since February 2019. Previously, Daniel completed a Data Science Bootcamp at BrainStation in late 2018, focusing on real-world analytical problem-solving through hands-on projects in data analysis, modeling, visualization, and Python programming. Daniel’s earlier experience includes serving as a Credit Analyst for Investment Loans at B2B Bank, where financial research and compliance assessments were conducted. Additionally, Daniel has worked as a Business Analyst at EG Energy Management, analyzing solar project finances and client information, and as a Business Development Intern at PF Global Corp., where sponsorships for events were sourced and relationships with stakeholders were nurtured. Daniel holds an Honours Bachelor of Arts in Economics from the University of Toronto, earned from 2012 to 2016.