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Lead Data Scientist with 9+ years in Data Analytics & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 5+ years of professional experience spanning analytical consulting, commercial operations and enterprise data leadership, including 2+ years of dedicated data analytics delivery across SQL, Python, R and Power BI. Expert in transforming fragmented datasets into structured intelligence through exploratory analysis, predictive modelling and dashboard development. Proven ability to translate complex analytical outputs into actionable recommendations that improve marketing performance, operational efficiency and commercial decision-making. Trusted by stakeholders to deliver data-driven insights that support measurable business outcomes.
University of Greenwich
MSc Data Science (FinTech) · Data Science (FinTech)
August 1, 2019 – June 30, 2020
University of Ilorin
BSc Statistics (Hons.) · Statistics
August 1, 2016 – June 30, 2019
Osun State Polytechnic
OND Statistics · Statistics
N/A – Present
AMDARI
Data Analytics Consultant
September 1, 2025 – Present
London, England, United Kingdom
KWE4 Africa
Data Analyst
November 1, 2021 – August 1, 2025
Lagos Island, Lagos State, Nigeria
DATAAD Petrochemicals Ltd
Chief Data Officer
June 1, 2016 – October 1, 2021
Lagos Island, Lagos State, Nigeria
Detecting Credit Card Fraud Using Supervised Machine Learning Techniques
June 1, 2026 – June 1, 2026
Developed and compared supervised machine learning models to detect fraudulent transactions within a large-scale, real-world financial dataset.
Churn Analysis
June 1, 2026 – June 1, 2026
Conducted statistical modelling to identify key drivers of customer churn and deliver insights supporting targeted retention strategies.
IMDB Movie Analysis (Python)
June 1, 2026 – June 1, 2026
Performed exploratory data analysis on film datasets to identify factors influencing audience ratings and box office performance.
IBM HR Attrition Analysis
June 1, 2026 – June 1, 2026
Applied classification modelling and exploratory data analysis to workforce datasets to identify patterns associated with employee attrition.
Introduction to Machine Learning
Unknown
June 1, 2026 – Present
Application of Data Science and Machine Learning
Unknown
June 1, 2026 – Present
Certificate in Data Science
Unknown
June 1, 2026 – Present
Machine Learning Algorithms
Unknown
June 1, 2026 – Present
Getting Started with Python for Data Science
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across financial fraud detection, churn analysis, HR attrition, and movie analysis, combined with roles in petrochemicals, consulting, and marketing, indicates adaptability and a broad interest in applying data science to various domains. Their academic background in Data Science (FinTech) and Statistics further strengthens their profile for roles requiring both technical depth and business acumen. The progression from Data Analyst to Chief Data Officer and then Data Analytics Consultant shows a growth mindset and ability to take on increasing responsibility.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, stakeholder engagement, and communication skills through their experience as a Chief Data Officer and Data Analytics Consultant. Their ability to translate business challenges into analytical solutions and drive operational improvements indicates a strong operational fit. The experience in managing budgets and leading teams suggests readiness for a senior leadership role.