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Data Science with less than a year in Data Analysis & Performance Analytics
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Analytical problem-solver focused on helping organizations uncover revenue opportunities, reduce risk, and improve decision-making through data-driven insights. Experienced in transforming complex datasets into clear, actionable recommendations using Power BI, SQL, and Excel — with a strong foundation in predictive modeling, segmentation, and performance analytics. Brings a consulting mindset to analytics work: structuring ambiguous problems, identifying key business drivers, and communicating insights in a way that influences decisions. Demonstrated experience supporting risk assessment, customer behavior analysis, and performance optimization through dashboards, models, and structured analysis.
University of Ilorin
Bachelor of Science · Physics
August 1, 2018 – June 30, 2023
Tata Group
Data Analytics Job Simulation
December 1, 2025 – December 1, 2025
India
ISON Xperiences
Customer Service Representative
September 1, 2025 – November 1, 2025
India
New York Jobs CEO Council
Financial Analyst Simulation
June 1, 2025 – June 1, 2025
India
Deloitte Australia
Data Analytics Job Simulation
May 1, 2025 – May 1, 2025
India
Loan Delinquency Prediction Model
June 18, 2026 – Present
Built a predictive model to identify high-risk borrowers using behavioral and financial indicators. Enabled risk-based decision-making through pattern recognition and trend analysis.
Global Technology Adoption Dashboard
June 18, 2026 – Present
Analyzed multi-country adoption trends to identify growth disparities and market opportunities. Delivered insights through interactive dashboards designed for strategic decision-making.
Sales & Performance Dashboards (Adidas / Classic Models)
June 18, 2026 – Present
Identified revenue trends, product performance gaps, and regional opportunities. Delivered KPI-driven dashboards to support performance optimization decisions.
Telecom Performance & Churn Analytics Dashboard (MTN Nigeria | 2024-2025)
January 1, 2024 – January 1, 2025
Analyzed customer, revenue, and churn data across 36 states and 9,000+ users to uncover growth drivers and performance gaps. Identified 195% year-over-year revenue growth, isolating key contributing factors through structured trend and segmentation analysis. Diagnosed churn patterns by uncovering early lifecycle drop-offs and competitive pressure signals impacting retention. Delivered actionable insights on high-value customer segments and regional performance, enabling targeted revenue optimization strategies. Designed a decision-focused Power BI dashboard that improved executive visibility into KPIs and accelerated insight-driven decision-making.
Data Analysis — SQL, Tableau, Power BI & Excel
Udemy
June 1, 2026 – Present
Career Essentials in Generative AI
Microsoft & LinkedIn
June 1, 2026 – Present
Remote Job Success
Udemy
June 1, 2026 – Present
ISON Xperiences New Hire Induction Program Certification
ISON Xperiences
June 1, 2026 – Present
Tata Group Data Analytics Job Simulation Certification
Forage
December 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales performance, loan delinquency, technology adoption, and telecom churn, shows a broad interest in applying data analytics across various domains. Their participation in job simulations from Deloitte and Tata Group, along with certifications, indicates a proactive approach to learning and professional development. While the experience is primarily simulation-based, the breadth of exposure aligns with a growth-oriented culture. The target role of Data Science is well-aligned with the candidate's stated skills and project focus, particularly in predictive modeling and advanced analytics.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving skills, a consulting mindset for structuring ambiguous problems, and effective communication for influencing decisions. Their experience in customer service also suggests an ability to translate customer interaction data into actionable insights and maintain performance in a data-driven environment, indicating good operational fit for roles requiring data-driven process improvement.