Kpokpe Favour Ogheneruese
Machine Learning Engineer & Data Scientist specializing in Python, MLOps, and statistical modeling, with a proven track record of delivering high-accuracy solutions through real-world projects.
Machine Learning Engineer & Data Scientist specializing in Python, MLOps, and statistical modeling, with a proven track record of delivering high-accuracy solutions through real-world projects.
I'm an ML Engineer and Data Scientist passionate about developing AI solutions that solve real-world problems. With experience in Python, MLOps, and statistical modeling, I've built high-accuracy prediction models for healthcare applications and developed data-driven insights for business analytics.
My focus is on creating practical machine learning solutions while ensuring high accuracy and reliability in production environments.
Developed an AI-powered Diabetes Prediction Flask app to predict diabetes risk with a 85% True Positive Rate, using CDC health, lifestyle, and demographic data.
Built a logistic regression model using Python (scikit-learn) on the Breast Cancer Wisconsin dataset to classify tumour as malignant or benign, achieving 98% accuracy and recall.
A credit risk scoring system built for predicting loan defaults. ERDE takes a loan application through a rule-based disqualification layer, scores it with a machine learning model, and returns an explainable decision with per-feature SHAP attribution.
Data Science
AltSchool Africa
Stanford Online