Daniel Oppong is an analytical and detail-oriented professional specializing in AI testing, quality assurance, data analysis, and business process improvement. With over a decade of experience supporting healthcare and human service operations, he has developed strong expertise in system validation, data integrity, workflow testing, and performance optimization.

In his role as a Business Analyst, Daniel designs and validates data dashboards, performs structured testing, and ensures system accuracy and reliability. He has hands-on experience evaluating AI-driven tools and outputs, focusing on response accuracy, logical consistency, bias detection, and continuous improvement. His work combines technical analysis with practical problem-solving to enhance data quality and operational efficiency.

Daniel holds a Master of management and certifications in project management and compliance, and he is currently pursuing the Certified Healthcare Data Analyst (CHDA) credential. He is recognized for his strong analytical mindset, attention to detail, and ability to translate complex data into actionable insights that support informed decision-making and system performance.