Emmanuel Ibe

Financial Data Analyst | Risk Analytics & Fraud Detection | Anomaly Detection & Machine Learning | SQL, Python, Power BI | RLHF| LLM Evaluation

I am a Data Analyst specializing in risk analytics, fraud detection, and transaction monitoring. I leverage data manipulation and statistical modeling to turn complex datasets into actionable insights that protect business integrity and optimize performance. Using SQL, Python, and Power BI, I build automated dashboards and conduct root-cause analysis to identify anomalies and flag risks before they escalate. My experience ranges from analyzing transactional datasets for behavioral risk signals to developing KPIs that accelerate exception monitoring and stakeholder decision-making. Additionally, I apply machine learning techniques - including classification and predictive modeling - to risk analysis, and evaluate AI models for reasoning, factuality, and safety. I thrive in cross-functional environments where problem-solving and evidence-based strategies have a direct impact on operational controls. As a graduate of Data Science, I am seeking roles in fintech and financial services where analytical rigor drives organizational growth