Summary
Sulaimon Afolabi is a Data Scientist and demographer with nine years of experience applying statistical rigor and computational methods to population studies, research, and teaching. He combines deep expertise in demography and survival modeling with practical skills across Python, R, Stata and big-data ecosystems like Hadoop/Spark to turn complex datasets into actionable insights. Comfortable from database design (T-SQL, MS SQL, MySQL) to model deployment (Docker, Azure, APIs), he bridges research workflows and production ML, including deep learning with TensorFlow/Keras and spatial analysis using ArcGIS/QGIS. A published researcher and lecturer with a PhD in Demography and Population Studies, he brings academic depth to industry problems and routinely visualizes and communicates findings via Tableau, Matplotlib and interactive dashboards. Unusually, his toolkit spans legacy analytical stacks (SAS, SPSS) through modern MLOps, enabling cross-disciplinary teams to reuse and scale validated demographic models. Based in Johannesburg, he contributes technical content publicly (YouTube, Slideshare) and leads data science efforts on GitHub.
9 years of coding experience
MA, Demography and Population Studies, MA, Demography and Population Studies at University of the Witwatersrand
B.Sc. (Hons), Demography and Social Statistics, B.Sc. (Hons), Demography and Social Statistics at Obafemi Awolowo University
r, t-sql, python, English