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USMAN AKINTOBI

USMAN AKINTOBI

Making Sense of Data to Drive Decisions

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Followed by Yusuf A, Anthony C. C, and D.Analytiqa

Nigeria

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Nigeria

Cover image for Context-Aware Fintech User Feedback Classification
Context-Aware Fintech User Feedback Classification & Urgency Detection Most feedback tools stop at sentiment; positive or negative. This project goes further by building a decision-driven NLP system that classifies fintech user feedback by issue type and detects operational urgency, enabling smarter triage and escalation. What was built: Two machine learning models trained on manually collected and annotated app store reviews from real fintech platforms like Revolut, Wise, and Monzo: Issue Classifier: categorizes feedback into 9 classes including transaction issues, account security, KYC, refunds, app performance, and fraud Urgency Detector: binary classifier that flags high-risk feedback requiring immediate attention, optimized for recall to minimize missed critical cases
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Cover image for DSP Asset Managers
DSP Asset Managers
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Cover image for Housing Dashboard
Housing Dashboard
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Energy Dashboard
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