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Lead Data Scientist with 10+ years in Data Analysis & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in transforming complex datasets into actionable business insights that support strategic decision-making. Experienced in data cleaning, exploratory analysis, statistical modeling, and dashboard development using SQL, Python, Excel, and Power BI. Adept at identifying trends, optimizing reporting processes, and communicating analytical findings to stakeholders. Combines strong research and statistical expertise with practical business analytics to drive operational efficiency and data-driven growth
University of Ilorin
Master of Science (MSc) · Physiology
N/A – June 30, 2022
Ambrose Alli University
Bachelor of Science (BSc) · Physiology
N/A – June 30, 2015
Data Analyst Hub
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January 1, 2026 – Present
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Schull Technologies
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October 1, 2025 – March 31, 2026
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Deeds Royal Academy
Mathematics Teacher
September 1, 2022 – December 31, 2024
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Ehilas Global Institute
Data Analyst & Researcher
October 1, 2014 – Present
Nigeria
Loan Portfolio Risk Analysis
June 20, 2026 – Present
Analyzed loan datasets to evaluate borrower risk and identify high-risk segments. Developed key metrics (debt-to-income, loan-to-value ratios). Built Power BI dashboard visualizing loan performance and default risk trends.
Sales Performance Analysis Dashboard
June 20, 2026 – Present
Analyzed sales data to identify revenue drivers and regional performance trends. Built interactive dashboards to support business insights and decision-making.
Data Analysis Certificate
Schull Technologies
January 1, 2025 – January 1, 2026
Cultural Fit Analysis
The candidate's diverse experience, including teaching and research, suggests adaptability and a broad perspective. Their current role as a Data Analyst and previous experience as a Data Analyst & Researcher align with the analytical demands of a Lead Data Scientist. However, the transition from Physiology to Data Science, while demonstrating initiative, might indicate a non-traditional path. The projects show a focus on business intelligence and reporting, which is a good fit, but there's less emphasis on advanced machine learning or predictive modeling, which are often core to lead data scientist roles. The candidate's continuous learning through certifications also indicates a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their experience in statistical analysis and data-driven instruction. Their background in teaching mathematics suggests good communication and mentoring abilities, which are valuable for leading data science teams. The project descriptions indicate an ability to work on diverse datasets and deliver actionable insights. However, the resume lacks explicit mentions of collaboration tools, agile methodologies, or direct leadership experience in a data science context, which are crucial for a Lead Data Scientist role.