Uche Okonkwo is an accomplished professional in the fields of data optimization, AI/ML model development, and economic insights, with a robust career dedicated to advancing knowledge and innovation. Currently serving as a peer reviewer, Uche is committed to maintaining high standards of academic rigor and integrity in scholarly publishing. With over 5 years of experience in analytics and technology within the Energy & Resources sector, Uche has contributed to the development and implementation of scalable AI solutions, advanced analytical frameworks, and impactful business strategies. Uche has a particular interest in ethical AI, fairness, transparency, and accountability in AI initiatives, and is deeply engaged in promoting research that addresses contemporary challenges and advances theoretical understanding. Uche’s academic qualifications include a Master of Science in Business Analytics from the University of Louisville, a Master of Science in Financial Engineering from WorldQuant University, and a Bachelor of Science (Honours) in Economics and Mathematics from the University of Nigeria. These qualifications are complemented by extensive professional experience, including roles such as Business Systems Analyst – AI/ML Focus at PPL Corporation and Advisory Services Associate at PwC. In addition to peer reviewing, Uche has led and collaborated on various data science projects, such as developing AI-powered sentiment-driven trading solutions, automated financial forecasting pipelines, and real-time contextual retrieval applications. Uche is also an active member and mentor in organizations like AnitaB.org and Black Girls in Tech (BGIT), contributing to broader conversations in technology and diversity. Outside of professional and academic engagements, Uche is passionate about mentoring early-career researchers, volunteering for community education initiatives, and speaking at industry events. Uche continues to strive for excellence in contributions to AI and analytics and takes pride in fostering impactful research that benefits both academia and industry.