Simileoluwa Kafaru

Simileoluwa Kafaru

Data Scientist @ Aella

About Simileoluwa Kafaru

Simileoluwa Kafaru is a Data Scientist with experience in customer analytics and machine learning. He has worked with various organizations, including StackwisR Limited and Aella App, and possesses expertise in tools such as Python, R, and SQL.

Work at Aella

Simileoluwa Kafaru has been employed as a Data Scientist at Aella App since 2022. In this role, Kafaru applies data analysis and machine learning techniques to enhance the company's offerings. The focus is on leveraging data to drive insights and improve decision-making processes within the organization.

Previous Experience in Data Science

Before joining Aella, Kafaru worked as a Data Scientist and Business Analytics Consultant at Pairview Limited from 2020 to 2022. Kafaru also held a position as a Data Scientist at StackwisR Limited for four months in 2022. During these roles, Kafaru developed customer analytics solutions, including customer segmentation and cohort analysis.

Leadership and Project Management

Kafaru served as Project Team Lead at The Green Institute from 2019 to 2020. This position involved overseeing project initiatives and coordinating team efforts. Kafaru also gained experience as a Research Intern at the same institute from 2018 to 2019, contributing to various research projects.

Educational Background

Simileoluwa Kafaru earned a Bachelor of Technology (BTech) in Meteorology and Climate Science from the Federal University of Technology Akure. The degree was completed over four years, from 2015 to 2019. This educational background provides a strong foundation for Kafaru's analytical skills in data science.

Technical Skills and Expertise

Kafaru possesses expertise in a variety of tools and technologies essential for data science. Proficient in Python, R, Excel, SQL, Power BI, Git, GitHub, Azure, and Docker, Kafaru is capable of delivering solutions both on-premises and in the cloud. Additionally, Kafaru has developed machine learning models for applications such as fraud detection and customer churn.

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