Samuel Babajide Atoyebi is a versatile statistician with a rich background in both academic research and practical applications. He earned his Master of Science in Statistics from Olabisi Onabanjo University in 2016 and a Bachelor of Technology in Statistics from Ladoke Akintola University of Technology in 2012.

Samuel has a strong foundation in statistical analysis and statistics. He holds Data Science and Machine Learning Essentials certifications from Microsoft Institute and Predictive Analytics from the Indian Institute of Management, Bangalore. He specializes in working with large datasets and has extensive experience creating, developing, merging, modifying, and converting vast data sets.

His career has been dedicated to collaborating with multidisciplinary teams to achieve organizational goals. With over a decade of experience, Samuel has worked in various capacities, including as a Statistical and Research Consultant at DSK Statistical Consult Ltd. in Osogbo, Osun State, where he has been since November 2014. In this role, he has advised organizations on data-driven decision-making, predictive modelling, and market research. He has also collaborated with interdisciplinary teams to deliver tailored statistical analyses, build statistical models, and conduct economic analyses.

During his tenure as a Research Analyst and Data Analyst at DSK Statistical Consult from October 2013 to November 2014, Samuel demonstrated his expertise in survey design, data collection, and data analysis using tools like Microsoft Excel, SAS, R, Minitab, SPSS, Power BI and STATA. His ability to derive actionable insights from data contributed to the success of numerous projects.

Samuel has about 12 years of experience as a data analyst and researcher, with expertise in various methodological areas, including quantitative and qualitative research and various analytical strategies.

Atoyebi’s academic contributions extend beyond his professional work. His academic curiosity and passion for research have led to valuable contributions to the field. His research interests encompass a broad spectrum of statistical domains; he has authored and co-authored several research papers in peer-reviewed journals, focusing on topics such as cancer survival analysis, forecasting currency circulation, and mathematics anxiety among students. His research demonstrates a strong command of statistical methodologies and their practical applications.

In addition to his academic achievements, Samuel possesses a diverse skill set, including proficiency in statistical software like SAS, SPSS, R, EViews, Microsoft Power BI, Minitab, STATA, GRETL, Jamovi, and others. He is also an adept communicator and problem solver, making him a valuable asset in academic and professional settings.

Samuel is a dedicated and passionate statistician committed to advancing the field of statistics and data science. His comprehensive knowledge, practical experience, and commitment to continuous learning make him a sought-after expert in statistics.

Beyond his professional achievements, he is characterized by dedication, a thirst for learning, and strong communication skills. He consistently seeks growth opportunities and welcomes challenges that foster personal and career development.