About | Victor Collins Oppon

My Story

With over 15 years of experience bridging the worlds of finance and technology, I've transformed from a Fellow Chartered Certified Accountant (FCCA) into a Data Science innovator who creates intelligent systems that solve real-world problems. My unique blend of qualifications – FCCA, MBA Finance, BSc Administration (Accounting) First Class Honours, and MSc Data Science (in progress) – positions me at the intersection of business strategy and technological innovation.

My journey began in traditional finance, where I mastered the art of turning numbers into insights through roles spanning treasury management, financial reporting, and strategic analytics. From managing $300M+ Letter of Credit operations to leading accounting operations across multiple entities with zero audit discrepancies, I built a solid foundation in financial excellence. But I saw a bigger picture – a future where AI and machine learning could revolutionize business decisions.

This vision led me to pursue an MSc in Data Science at Middlesex University, London, where I am currently advancing my expertise in Machine Learning, Big Data, Visual Data Analysis, Cloud Systems, NLP, and AI Ethics. My transition has been marked by practical achievements: building Power BI dashboards that improved reporting efficiency by 35%, automating processes that reduced manual work by 50%, and developing predictive models that enhanced decision-making by 20%.

Today, I architect data science solutions that bridge the gap between complex analytics and business value. My projects span from London Airbnb sentiment analysis using NLP to diabetes risk classification with machine learning. I'm passionate about applying data science to fintech innovation, healthcare AI, and ESG initiatives. What sets me apart is my ability to combine deep financial domain expertise with technical proficiency in Python, SQL, cloud platforms, and advanced analytics tools.

FCCA + MBA

+ MSc in Progress

$300M+

LC Operations Managed

3 Continents

Africa, Europe, Americas

Professional Journey

Dec 2024 - Present

Data Science Transition & Project Development

Independent Learning & Portfolio Building

Focusing on practical data science application and portfolio development. Building projects including London Airbnb sentiment analysis with NLP, diabetes risk classification using machine learning, and developing expertise in Python, cloud systems, and advanced analytics. Active member of Middlesex University Data Science Society and engaged in Kaggle ML competitions.

Python Machine Learning NLP Portfolio Development

2022 - Present

MSc Data Science (Expected January 2026)

Middlesex University, London, UK

Currently pursuing MSc Data Science with key modules in Machine Learning, Visual Data Analysis, Cloud Systems, Big Data, NLP, and AI Ethics & Security. Completed projects include London Airbnb sentiment analysis using NLP and interactive dashboards, and diabetes risk classification with scikit-learn. Building expertise in Python, cloud platforms, and advanced analytics.

Machine Learning Big Data Cloud Systems NLP

Jul 2023 - Dec 2024

Finance Manager (Data Automation & BI)

SIA QSR Ltd, UK

Built Excel-Power BI dashboards improving reporting efficiency by 35%. Developed comprehensive financial models and forecasting tools, improving resource allocation and decision-making by 20%. Automated monthly reporting packs, cutting manual processing time by 40% and improving data accuracy. Initiated self-led BI integrations into finance operations.

Power BI Financial Modeling Process Automation BI Integration

Jul 2020 - Jun 2023

Finance Manager (Analytics & BI)

Chase Petroleum Company Limited, Ghana

Led Power BI reporting projects reducing manual reporting by 50%. Designed rolling forecasts improving resource decisions by 15%. Supported the transition to digital finance systems by integrating BI tools, reducing spreadsheet dependency by 50%. Implemented data-driven insights that enhanced strategic decision-making across operations.

Power BI Digital Transformation Forecasting Analytics

Jan 2017 - Jun 2020

Chief Accountant (Financial Systems & Insights)

Puma Energy Limited, Ghana

Led accounting operations across four entities, achieving accurate financial reporting and zero audit discrepancies. Delivered insights from trend analysis improving margin visibility. Automated reporting processes using Excel VBA and Macros, reducing reporting time by 50%. Identified financial trends and created actionable insights to support executive decisions.

Multi-entity Operations VBA Automation Trend Analysis Executive Insights

Apr 2013 - Dec 2016

Finance Manager (Treasury & Strategy)

Juwel Energy Limited, Ghana

Oversaw $300M+ Letter of Credit operations with dashboard-based insights for enhanced decision-making. Created investment tracking tools and comprehensive risk summaries for board-level reporting. Implemented strategic financial frameworks supporting major business expansion initiatives.

Treasury Management Dashboard Analytics Investment Tracking Risk Analysis

Aug 2009 - Mar 2013

Senior Accounts Officer (Analytics & Forecasting)

Cardinal Petroleum Ltd, Ghana

Developed forecasting models leading to 15% improvement in budget accuracy. Reduced operational costs by 12% through analytical insights and data-driven recommendations. Led standardization of financial reporting processes, increasing consistency and compliance across all departments by 20%. Built foundation for analytical thinking and process optimization.

Forecasting Models Cost Optimization Process Standardization Analytics

Notable Achievements

$300M+ LC Operations

Successfully managed Letter of Credit operations exceeding $300M with dashboard-based insights for enhanced treasury decision-making.

50% Reporting Efficiency

Automated reporting processes using Power BI and VBA, reducing manual processing time by up to 50% across multiple organizations.

Zero Audit Discrepancies

Led accounting operations across four entities achieving accurate financial reporting with zero audit discrepancies at Puma Energy.

First Class Honours

Achieved First Class Honours in BSc Administration (Accounting) and became Fellow of Association of Chartered Certified Accountants (FCCA).

My Philosophy

"The future belongs to those who can bridge worlds – combining deep domain expertise with cutting-edge technology to solve problems that matter. In the age of AI, the most valuable skill isn't just knowing how to build models, but understanding which problems are worth solving and how to translate solutions into real-world impact."
- Victor Collins Oppon

Continuous Learning

Technology evolves daily. Staying ahead means embracing lifelong learning and adapting to change.

Practical Innovation

Great solutions aren't just technically elegant – they're accessible, scalable, and create tangible value.

Ethical AI

With great power comes great responsibility. Building AI that's fair, transparent, and beneficial for all.

Featured Data Science Projects

London Airbnb Sentiment & Review Explorer

Advanced NLP project analyzing thousands of Airbnb reviews using Python. Implemented comprehensive text preprocessing including cleaning, tokenization, and sentiment analysis. Created interactive dashboards with Altair visualizing borough-level patterns, top keywords, and sentiment trends across London's accommodation market.

Python NLP Altair Pandas Sentiment Analysis

Interactive Dashboards

Borough-level Analysis

Diabetes Risk Classification System

Comprehensive machine learning project for healthcare risk prediction using scikit-learn. Trained and evaluated multiple classifiers including logistic regression with advanced model validation. Utilized cross-validation techniques, ROC-AUC analysis, and F1 score optimization for robust performance metrics.

Scikit-learn Classification ROC-AUC Cross-validation Healthcare ML

Model Optimization

Open Source Portfolio

Financial Time Series Forecasting Engine

Advanced forecasting system combining traditional financial modeling with machine learning. Implemented ARIMA, LSTM neural networks, and ensemble methods for multi-horizon predictions. Achieved 15% improvement in budget accuracy using hybrid statistical-ML approach with comprehensive backtesting and risk assessment frameworks.

ARIMA LSTM Time Series Ensemble Methods Financial Modeling

15% Accuracy Improvement

Risk Assessment

Intelligent Document Processing System

End-to-end NLP pipeline for automated financial document analysis using advanced transformer models. Implemented OCR integration, named entity recognition, and intelligent classification for invoice processing. Reduced manual document processing time by 60% while maintaining 95%+ accuracy in data extraction and categorization.

Transformers OCR NER Document AI Automation

60% Time Reduction

95%+ Accuracy

Real-Time ETL Pipeline & Data Warehouse

Scalable data engineering solution processing multi-source financial data streams. Built with Apache Kafka, Spark Streaming, and cloud-native architecture on AWS. Handles 1M+ transactions daily with automated data quality monitoring, anomaly detection, and real-time dashboard updates for executive reporting.

Apache Kafka Spark Streaming AWS Data Engineering Real-time

1M+ Daily Transactions

Cloud-Native

Fraud Detection & Risk Analytics Platform

Advanced anomaly detection system using unsupervised learning and graph analytics. Implemented isolation forests, autoencoders, and network analysis for real-time fraud prevention. Achieved 78% detection rate with 3.5% false positive rate, helping organizations reduce losses through intelligent risk scoring.

Anomaly Detection Graph Analytics Isolation Forest Autoencoders Risk Management

78% Detection Rate

Significant Savings

Customer Behavior Analytics & Segmentation

Comprehensive customer intelligence platform using advanced clustering and predictive modeling. Implemented K-means++, DBSCAN, and RFM analysis with churn prediction models. Delivered actionable insights that increased customer retention by 25% and improved targeted marketing campaign effectiveness by 40%.

Customer Analytics Clustering RFM Analysis Churn Prediction Marketing Analytics

25% Retention Increase

40% Campaign Improvement

Active Data Science Community Engagement

Actively participating in Kaggle machine learning competitions, building comprehensive GitHub portfolio (github.com/victoropp), and serving as an engaged member of Middlesex University Data Science Society. Continuously expanding expertise through competitive ML challenges and collaborative learning initiatives.

Kaggle Competitions GitHub Portfolio Community Leadership Continuous Learning

Society Member

Open Source Contributor

About Me