Open to opportunities

donatus victor

@donatusvictor

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Data Scientist and MLOps practitioner delivering fraud, risk, and recommendation models.

Nigeria

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What I'm looking for

I’m looking to build and deploy scalable ML solutions in data-driven teams—especially for fraud detection, credit risk, and customer analytics—where I can deliver production-ready pipelines, dashboards, and continuous model improvement with MLOps.

I’m a Data Scientist with 4+ years of experience designing, validating, and deploying predictive machine learning solutions across fraud detection, credit risk, recommendations, customer analytics, and digital financial products. I translate complex business problems into scalable analytical solutions using Python and SQL, paired with modern MLOps practices to support real-world production needs.

In my work, I’ve led ML initiatives building predictive models, segmentation, recommendations, and portfolio risk analytics, including production-ready pipelines on AWS SageMaker and executive dashboards over 500K+ records. I also improved fraud detection by 22% with XGBoost, validated changes using A/B testing and hypothesis testing, and built ETL and Power BI reporting that drove retention and KPI performance.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

FDGS Energy Group

Feb 2025 - Present (1 year 6 months)

Led machine learning initiatives for digital financial products, building predictive models, recommendation systems, customer segmentation models, and portfolio risk analytics to improve customer experience and business performance. Developed production-ready ML pipelines and executive dashboards and supported deployments with AWS SageMaker.

Portfolio Risk Data Analysis Machine Learning predictive modeling Recommendation Systems Customer Segmentation Risk Analytics ML Pipelines AWS Sagemaker

Senior Data Analyst

TalentBank Nigeria

Jul 2024 - Dec 2024 (5 months)

Built customer analytics dashboards that improved retention by 15% and developed ETL pipelines for business reporting and performance monitoring.

Retention Analytics Data Integration Reporting Performance Monitoring Customer Analytics Dashboarding ETL Retention Analysis Business Reporting

Data Scientist

Minerva Technologies

Aug 2023 - Jun 2024 (10 months)

Conducted exploratory data analysis on large transactional and behavioural datasets to uncover fraud patterns and customer/product insights. Developed and evaluated XGBoost models for fraud detection and risk prediction and validated changes using A/B testing and statistical hypothesis testing.

predictive modeling Fraud Detection XGBoost A B Testing Hypothesis Testing Model Evaluation

Data Analyst

CapitalCore Outsourcing Ltd

Apr 2022 - Dec 2023 (1 year 8 months)

Built Power BI dashboards for financial and operational KPIs, contributing to improved sales conversion rates and reduced late deliveries. Supported ETL workflows, data cleaning, and structured reporting, and helped establish data documentation standards.

Power BI KPI Reporting Data Visualization ETL Data Cleaning Reporting Data Documentation