Summary
Nasirudeen Raheem is a causal data scientist with 8 years of experience applying statistical rigor and ML to health and financial problems, currently focused at Lifesight. He has delivered production-grade solutions—customer segmentation and churn models, BI dashboard automation, and a sustainable ML system that boosted customer satisfaction to over 90%—and has a track record of competition-winning applied work across Zindi, Kaggle, and Datacrunch. His background spans deep learning research (image classification and long-tailed learning at InstaDeep) to causal and time-series analyses for healthcare facilities, blending technical tools like Python, JAX, SHAP/LIME, and SQL with business-oriented decision making. Notably, he helped build a responsible-AI model in a global health hackathon that was adopted for field use and has contributed practical solutions for early cancer-stage classification and financial forecasting. Based in Ibadan, Nigeria, he combines formal analytics education with hands-on competitive experience to tackle infectious disease reduction, fraud detection, and care-quality problems.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Business Administration - BBA Business Analytics, Bachelor of Business Administration - BBA Business Analytics at Nexford University
NANODEGREE Data Analyst, NANODEGREE Data Analyst at Udacity
Higher National Diploma Statistics, Higher National Diploma Statistics at The Polytechnic, Ibadan