Moses Ganiyu

Dynamic and results-driven Data Science Manager with 15+ years of experience leading data-driven strategies, predictive analytics, and machine learning solutions to optimize business operations. Proven expertise in building scalable data pipelines, designing predictive models, and implementing A/B testing to drive decision-making. Proficient in SQL, Python, Power BI, Azure, AWS, and Google Cloud Platform, with a track record of leveraging big data technologies to deliver actionable insights.

Adept at leading cross-functional teams, implementing data governance, and improving operational efficiency by up to 60% through automation and strategic analysis.

I have led high-performing teams to achieve significant productivity increases through strategic audits, data analytics management, ensuring data integrity, and optimizing processes. I have utilized various tools such as R, SQL, Python, Maximo, Power BI, ETL, Databases, Tableau, Mathematical & Statistical Analysis, Big Data, and Cloud computing (GCP, AWS, Azure) to elevate data reporting and analysis. This has resulted in a 60% increase in departmental efficiency.

I have applied cutting-edge research and optimized machine learning techniques, contributing to a remarkable 60% improvement in departmental efficiency.

Post-Graduate Certificate in Cloud Computing | The University of Texas at Austin | Expected May 2025

Master of Science in Data Science | City University of New York | June 2018

Bachelor of Science in Statistics | University of Ilorin | June 2011