Bio
Daniel Emakporuena is a versatile data analyst and researcher passionate about leveraging data for business growth, sustainability, and creativity in AI solutions. With expertise in Python, SQL, and business intelligence tools like Power BI and Excel, Daniel has a proven track record of transforming raw data into actionable insights.
As a researcher, he explores the role of large language models (LLMs) in creative problem-solving and their application in sustainable solutions. His work bridges the gap between cutting-edge AI technologies and real-world environmental challenges.
Daniel’s experience includes leading data science projects, such as developing a movie recommendation model, creating dashboards, optimizing marketing strategies, and improving data-driven decision-making processes. He thrives in roles requiring leadership, teamwork, and effective communication, using his skills to deliver impactful results.
Holding a Master’s degree in Data Science and Big Data Analytics from Wrexham University and a Bachelor’s in Mathematics from the University of Benin, Daniel combines academic rigor with hands-on expertise. He is also a pioneer leader as President of the BCS Wrexham University Chapter and a certified Python programmer.
Daniel’s goal is to inspire others to harness the power of data and AI for sustainable, innovative solutions.