About
Highly analytical and results-driven professional with a strong background in both financial risk management and data science, holding a Bachelor's in Computer Engineering. Proven ability to leverage advanced data analytics and financial modeling to optimize credit decisions, mitigate risk, and drive business growth. Seeking to apply a unique blend of technical acumen and financial expertise to complex challenges in a data-intensive environment.
Work
Nigeria
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Summary
Leads advanced credit risk assessments and portfolio management, leveraging data analytics to optimize lending decisions and minimize defaults.
Highlights
Managed a diverse loan portfolio valued at over $X million, significantly reducing default rates by 15% through proactive risk identification and mitigation strategies.
Developed and implemented data-driven risk models, improving credit scoring accuracy by 20% and streamlining the loan approval process for enhanced efficiency.
Provided strategic recommendations to senior management on emerging market trends and risk exposure, directly influencing sound financial planning and policy adjustments.
Mentored and guided a team of 3 junior analysts, enhancing their capabilities in advanced credit assessment, data analysis, and regulatory compliance.
Nigeria
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Summary
Conducted comprehensive credit evaluations and risk analyses, contributing to informed lending decisions and maintaining portfolio health.
Highlights
Analyzed financial statements and credit histories for an average of 50+ loan applications monthly, ensuring strict adherence to lending policies and risk parameters.
Identified and flagged high-risk accounts, preventing potential losses totaling over $Y through diligent analysis and timely intervention.
Collaborated cross-functionally with sales and operations teams to structure loan products that balanced risk profiles with profitability targets.
Prepared detailed credit reports and risk assessments, providing actionable insights for management review and decision-making.
Nigeria
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Summary
Supported credit risk operations by conducting preliminary assessments and maintaining accurate risk data.
Highlights
Assisted in the evaluation of credit applications, verifying client information and preparing preliminary risk reports for senior review.
Maintained and updated credit risk databases, ensuring data integrity and accessibility for ongoing analytical purposes.
Contributed to weekly risk review meetings, presenting findings on emerging credit trends and individual loan performance.
Conducted initial due diligence on prospective clients, gathering essential financial and background information.
Nigeria
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Summary
Gained foundational knowledge in credit assessment and risk management principles through structured training and practical application.
Highlights
Completed an intensive training program in financial analysis, credit scoring methodologies, and regulatory compliance within the microfinance sector.
Shadowed senior analysts, learning best practices in risk identification, mitigation strategies, and portfolio monitoring.
Assisted in data collection and preliminary analysis for various credit reports and market research initiatives.
Participated in client interviews to understand financial needs and assess repayment capacities.
Nigeria
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Summary
Applied machine learning and statistical techniques to real-world datasets, developing predictive models and extracting actionable insights.
Highlights
Developed a predictive model for customer churn, achieving 85% accuracy using Python, scikit-learn, and advanced statistical methods.
Performed extensive data cleaning, transformation, and feature engineering on large, unstructured datasets, improving data quality by 30%.
Visualized complex data insights using Matplotlib and Seaborn, effectively communicating findings to project leads and stakeholders.
Contributed to a team project focused on optimizing resource allocation using data-driven forecasting, resulting in potential efficiency gains.
Nigeria
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Summary
Managed administrative operations, ensuring efficient workflow and supporting departmental functions within the bank.
Highlights
Streamlined document management and filing processes, improving retrieval efficiency by 25% and enhancing data accessibility.
Coordinated schedules, meetings, and communications for a team of 10+, significantly enhancing overall operational flow and productivity.
Managed office supplies and equipment inventory, optimizing resource utilization and contributing to a 10% reduction in administrative costs.
Provided comprehensive administrative support, ensuring smooth daily operations and a highly organized work environment.
Education
Ekiti state University Ado Ekiti
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Degree
Computer Engineering
Grade: 4.13
Skills
Data Science & Analytics
Data Modeling, Predictive Analytics, Machine Learning, Statistical Analysis, Data Visualization, Data Cleaning, Feature Engineering, A/B Testing, SQL, Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn.
Financial Analysis & Risk Management
Credit Analysis, Risk Assessment, Financial Modeling, Valuation, Portfolio Management, Loan Underwriting, Regulatory Compliance, Financial Reporting, Credit Scoring, Market Risk, Operational Risk.
Business & Operations
Strategic Planning, Process Optimization, Project Management, Cross-functional Collaboration, Stakeholder Management, Problem Solving, Microsoft Excel, Microsoft PowerPoint.