Precious Chidiebere Ikebude

Profile

BI Scientist and AI/ML Engineer with over 3 years in data analysis, business intelligence and machine learning. I started out building BI and reporting solutions and now design and deploy MLOps pipelines for fraud detection and AI products, including my own: Moniguard (fraud scoring), the BI Operations Agent (plain-English analytics) and LoanLens (credit risk). Economics graduate, comfortable with the full data lifecycle from ETL and data modelling to dashboards, models and monitoring.

Experience

1. BI Scientist || AI/ML Engineer

   Nov 2025 – present

   3Consulting Limited · Lagos

   • Design, build and validate AI/ML systems in the AI Assurance & Solutions unit for fraud detection, data governance and digital-asset intelligence.
   • Built end-to-end fraud-detection pipelines (FraudGuard): velocity, behavioural and shared-entity features feeding a calibrated XGBoost and Isolation Forest ensemble, with one feature definition for training and inference.
   • Automated retraining, promotion, drift monitoring and compliance reporting with Airflow, logging every run to MLflow.
   • Structured the market and regulatory indicators behind the Africa Stablecoin Intelligence platform so every metric shows its source and timestamp.

2. Junior Data Analyst

   Jun 2025 – Nov 2025

   3Consulting Limited · Lagos

   • Worked on SafeData’s retention rule engine (disposal dates from retention schedules and consent withdrawals, with legal holds and dual approval) and built its CI pipeline.
   • Created dashboards and technical documentation on model performance, risk and operational metrics for stakeholders.
   • Translated business requirements into AI solutions aligned with compliance and governance standards.

3. BI Analyst || Data Scientist

   Jun 2024 – Jun 2025

   Nuovobanq · Seychelles · Remote

   • Delivered Power BI dashboards that drove a 25% improvement in client decision-making speed and identified a 15% operational-efficiency opportunity.
   • Automated data transformation and reporting, cutting manual data preparation time by 30%.
   • Built Power BI data models, DAX measures and SQL transformations that surfaced revenue leakages and cost savings.

4. Economist (NYSC)

   Feb 2024 – Jan 2025

   Bayelsa State Sports Academy · Asoama

   • Analysed the records of over 200 high-school athletes to identify learning patterns.
   • Automated reports in Excel, reducing reporting time by 25%.

5. Business Data Analyst || Xero Accounting Advisor

   Nov 2022 – Jan 2024

   Collective Consulting Limited · Lagos

   • Turned business and accounts data into reports that supported decisions, contributing to a 15% improvement in business efficiency.
   • Automated workflows in Xero, reducing manual data-entry errors by 12%.
   • Built BI solutions with Xero, Excel and Power BI, and reconciled financial data to accounting standards.

Selected projects

• Moniguard

  Real-time fraud scoring for Nigerian payments. PR-AUC 0.959 in batch, 0.837 scored one transaction at a time through the API (synthetic data).

• BI Operations Agent

  Plain-English questions over a governed semantic layer with a read-only SQL guard. 48/50 benchmark questions; 12/12 adversarial prompts blocked.

• LoanLens

  Leakage-free credit scorecard on 55,518 Prosper loans, tested out of time. ROC-AUC 0.705, KS 0.303.

• Customer Intelligence

  Calibrated churn model and weekly call list. PR-AUC 0.841; 60.7% of churners reached at a 20% outreach budget.