Joseph Ukpai

University of Cambridge-trained Data Scientist and Machine Learning Engineer with 5+ years of experience applying machine learning, predictive analytics, NLP, statistical modeling, and quantitative analysis to solve complex business and research problems. Experienced in designing and implementing end-to-end data science solutions, from data acquisition and feature engineering to model development, validation, forecasting, and stakeholder-focused insights. Key achievements include developing a student dropout prediction system that achieved 97.6% accuracy and 0.99 ROC-AUC, building an NLP-driven customer review intelligence platform that analyzed over 30,000 customer reviews across 300+ locations, and creating anomaly detection and forecasting solutions for operational risk management and demand prediction. Proficient in Python, SQL, Scikit-learn, TensorFlow, XGBoost, Power BI, and modern machine learning workflows. I am seeking remote opportunities in Data Science, Machine Learning Engineering, Applied AI, Predictive Analytics, and AI Research where I can leverage advanced analytics, machine learning, and business problem-solving skills to deliver measurable impact and support data-driven decision making.