Available to hire
I am a data scientist with five years of experience in the financial sector, focusing on fraud detection, credit risk analysis, and customer behavior prediction. I collaborate with cross-functional teams to translate complex data into actionable insights and data-driven decisions.
I have built ML-driven credit risk models, dashboards for risk monitoring, and conducted experiments to improve product performance while ensuring responsible lending. I am passionate about turning data into strategic solutions that drive profitability and customer value.
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Language
English
Fluent
Yoruba
Fluent
Work Experience
Data Scientist (Decision Science) at Kuda MFB
September 2, 2024 - PresentDeveloped a data-driven credit limit increase scorecard using XGBoost to assess customer eligibility and risk, enabling policy decisions with model-driven CLI thresholds and contributing to better risk-adjusted portfolio growth, including a 7% increase in profit per customer at 90 days. Built a credit collection model to assess repayment and roll-rate behavior, boosting cure rate from 10% to 25% in the first two months. Analyzed overdraft product feedback with TensorFlow to extract key themes and sentiment to understand customer perception. Created dashboards to monitor credit risk exposures and portfolio performance for stakeholders. Conducted a risk analysis on overdraft customers by OS, identifying higher bad rate among Android users, which informed a strategic shift toward iOS lending and resulted in an 8% reduction in bad rate and 10% profitability lift within two months. Implemented portfolio monitoring for overdraft and term loans using SQL, communicated findings in Looker Studi
Data Scientist/Data Analyst at Zenith Bank Plc
September 3, 2021 - August 21, 2024Developed an approval term loan scorecard for credit risk and limit setting. Built and maintained robust ETL pipelines to extract, transform, and load data from various sources. Monitored scorecard performance with SQL tracking. Led the ML lifecycle from problem scoping to deployment and monitoring, delivering impact in credit scoring and customer segmentation. Analyzed transaction data using clustering and supervised learning to predict customer behavior for targeted campaigns. Applied statistical techniques and exploratory data analysis to gain insights and formulate hypotheses. Interpreted data insights and communicated trends to stakeholders to identify opportunities for business growth.
Django Developer at Bytewave Technologies
May 3, 2019 - May 4, 2020Designed backend architecture of the blog API using Django, ensuring scalability, performance, and maintainability. Built RESTful APIs to handle CRUD operations for blog posts, comments, and users, using Django's serializer and viewsets. Managed the database schema, performed database modeling, and optimized database queries to ensure efficient data retrieval and storage. Collaborated with frontend developers to integrate the API with the frontend application, ensuring seamless data exchange and API functionality.
Education
Qualifications
Bachelor of Science - Mathematics
January 11, 2030 - January 1, 2015Bachelor of Science in Mathematics
January 11, 2030 - January 1, 2015Industry Experience
Financial Services, Software & Internet
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