Data Scientist & ML Engineer | FCCA | MBA Finance | MSc Data Science (2026)
Building Production ML Systems that Drive Real Business Results
I'm a Data Scientist & ML Engineer with 15+ years of analytical leadership, uniquely positioned at the intersection of advanced machine learning and financial expertise. With a rare combination of Chartered Accountancy (FCCA) and cutting-edge ML/AI capabilities, I architect production-grade ML systems that deliver measurable, transformative business impact.
I specialize in transforming complex business challenges into scalable, production-ready ML solutions across Finance & Risk Analytics, Healthcare AI, Retail Intelligence, and Enterprise Automation — delivering end-to-end ML pipelines from strategic concept to deployed, monitored production systems.
- Rare Dual Expertise: FCCA Chartered Accountancy + 15+ years business leadership + cutting-edge ML/AI. I don't just build models — I understand the business context, ROI implications, and strategic value that makes them impactful.
- Full-Stack ML Expertise: From deep learning (PyTorch, TensorFlow) to gradient boosting (XGBoost, LightGBM, CatBoost) to NLP transformers (BERT, GPT) — I select and implement the right technique for each business problem.
- Production-First Mindset: Every project includes interactive Streamlit dashboards, FastAPI endpoints, Docker deployment, and comprehensive documentation.
- Explainable AI Champion: SHAP, LIME, Grad-CAM, and feature importance analysis in every project for interpretability, regulatory compliance, and stakeholder trust.
- Multi-Domain Versatility: Proven success across Finance, Healthcare, Retail, Insurance, NLP, and Computer Vision.
| Domain | Specializations |
|---|---|
| Financial Services | Fraud Detection, Risk Modeling, Credit Scoring, Financial Forecasting |
| Healthcare | Medical Image Classification, Disease Prediction, Diagnostic AI |
| Retail | Demand Forecasting, Customer Analytics, Market Basket Analysis, Churn Prediction |
| Insurance | Premium Prediction, Claims Analysis, Risk Assessment |
| NLP | Sentiment Analysis, Named Entity Recognition, Text Classification |
| Computer Vision | Object Detection, Image Classification, Medical Imaging |
| Project | Domain | Key Metric | Tech Stack |
|---|---|---|---|
| Credit Card Fraud Detection | Finance | 97% ROC-AUC, $131K savings | XGBoost, SHAP, FastAPI |
| COVID-19 X-ray Classification | Healthcare | 92% ROC-AUC | CNN, TensorFlow, Grad-CAM |
| Customer Churn Prediction | Retail | 98% ROC-AUC | XGBoost, SHAP, Streamlit |
| Financial Sentiment Analysis | NLP | 81% Accuracy | BERT, Transformers, NLP |
| Stock Market Intelligence | Finance | 98% Accuracy | LSTM, Technical Analysis |
| Retail Sales Forecasting | Retail | 13.5% WAPE | LightGBM, Time Series |
| Car Insurance Premium Prediction | Insurance | 99.78% R² | XGBoost, Stacking |
| Enterprise NER Intelligence | NLP | 92% F1 | spaCy, NER, Transformers |
| COCO Smart Analytics | Computer Vision | 37 mAP | YOLOv8, Object Detection |
View All 17+ Production ML Projects →
| Qualification | Institution | Status |
|---|---|---|
| MSc Data Science | Middlesex University, London | In Progress (2026) |
| FCCA (Fellow Chartered Certified Accountant) | ACCA, UK | Completed |
| MBA Finance | Wisconsin International University College | Completed |
| BSc Accounting | University of Ghana Business School | First Class Honours |
- MATLAB Programming & Analytics (MathWorks 2025)
- Microsoft Power BI Expert
- Advanced Excel & VBA Specialist
- Python for Data Science
Senior Finance Manager (Advanced Analytics & Automation) | SIA QSR Ltd | 2023-2024
- Architected integrated analytics platform using Python and Power BI
- Developed predictive financial models achieving 20% improvement in resource allocation
Finance Manager (Business Intelligence) | Chase Petroleum | 2020-2023
- Spearheaded enterprise-wide BI transformation for $50M+ operations
- Reduced manual reporting by 50% through automated dashboards
Progressive Leadership in Oil & Gas | Puma Energy, Juwel Energy, Cardinal Petroleum | 2009-2020
- Led analytical operations managing $300M+ treasury operations
- Zero audit discrepancies with 100% reporting accuracy
Open to senior data science roles, ML engineering positions, and consulting opportunities.
| Contact | Link |
|---|---|
| Portfolio | victoropp.github.io/portfolio-site |
| Victor Collins Oppon | |
| Kaggle | victoropp |
| victoropp@gmail.com |
Always Learning. Always Building. Focused on Real-World Impact.