Olasumbo Banjoko

I am a multidisciplinary data analyst and economist with over four years of experience applying quantitative methods to inform policy and business decisions. I combine economic modelling, time-series forecasting, and programming to deliver reproducible, actionable insights.

My work has included developing and automating financial and operational models in Excel and RStudio, leading data-driven decision making for renewable energy projects, and implementing project management and monitoring systems to improve delivery. I have practical experience with ARIMA forecasting and interdisciplinary energy-economics research.

I have taught introductory data science topics—Python, RStudio, and Excel—to early-career learners and contributed to financial inclusion research using R and Python. I value clear documentation, version control, and peer review to ensure quality and reproducibility.

I hold an MA in Economics and a BSc in Industrial & Production Engineering, and I pursue continuous learning through applied certifications and volunteer teaching. I am motivated to apply data-driven, interdisciplinary approaches to deliver impactful public-sector and energy-sector insights.