Adegunle A. Babatunde
About Adegunle A. Babatunde
Adegunle A. Babatunde is a data scientist with extensive experience in various roles across multiple organizations, including Cowrywise and AXA. He has a strong background in data analytics, machine learning, and business innovation, with notable achievements in reducing costs and increasing revenue through data-driven solutions.
Work at Cowrywise
Adegunle A. Babatunde has been employed as a Data Scientist at Cowrywise since 2022. His role involves leveraging data analytics to drive insights and support decision-making processes within the organization. Cowrywise is known for its focus on financial technology, and Babatunde's contributions are integral to enhancing the company's data-driven strategies.
Previous Experience in Data Science
Prior to his current position, Babatunde worked at AXA in various capacities, including Head of the Data Science Team and MLOps Engineer. His tenure at AXA lasted from 2020 to 2022, where he played a significant role in data science initiatives. He also gained experience at Zindi, DataCrunch, and USAID, contributing to projects that involved data analysis and machine learning.
Education and Expertise
Babatunde earned a Bachelor of Engineering in Civil Engineering from Ekiti State University, completing his studies in 2019. He further enhanced his skills by obtaining a Mini-MBA in Business Innovation, Growth & Digital Execution from Tekedia Institute, USA, in 2022. His educational background supports his expertise in data science and analytics.
Achievements in Data Science
Babatunde has implemented several impactful projects throughout his career. He developed a recommendation system that significantly increased company revenue by over N100 million annually. Additionally, he utilized anomaly detection techniques to recover over 87 million fraudulent transactions and conducted product analytics that led to a new product launch, enhancing customer experience and generating substantial revenue.
Technical Skills and Proficiencies
Babatunde is proficient in a variety of technologies relevant to data science. His skill set includes programming languages such as Python and SQL, along with experience in cloud and data platforms like Azure DevOps Server and Google Bigquery. This diverse technology stack enables him to effectively analyze data and implement machine learning solutions.