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Ridha MohamedRM
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Ridha Mohamed

@ridhamohamed

Data analyst specializing in predictive modeling, fraud detection, and AI-driven financial analytics.

Malaysia
Message

What I'm looking for

I seek data-focused roles where I can build predictive models and AI solutions, collaborate with stakeholders, and translate analytics into measurable business impact.

I am a data analyst with hands-on experience delivering end-to-end projects in predictive modeling, fraud detection, customer churn analysis, and AI-powered financial advisory systems.

I build and evaluate machine learning models using Python, R, SAS and SQL, and create dashboards and visualizations in Tableau and related tools to translate complex data into actionable business insights.

My projects include churn prediction with ensemble and neural models (AUC 0.809), fraud detection using SMOTE and hyperparameter optimization, and a modular AI chatbot for personalized financial planning with explainability and ethical safeguards.

I combine technical rigor with business-facing communication—optimizing proposals, campaigns and dashboards—to drive data-driven decisions and measurable performance improvements.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Asia Pacific University of Technology and Innovation logoAI

Asia Pacific University of Technology and Innovation

Master of Science, Data Science and Business Analytics

2024 - 2025

Grade: 3.7

Completed an MSc in Data Science and Business Analytics with coursework in machine learning, advanced analytics, visualization, and business intelligence; capstone developed an AI-powered personalized financial planning chatbot integrating NLP, ML, and explainable AI.

Heriot-Watt University logoHU

Heriot-Watt University

Masters of Arts (Hons), Business and Finance

2020 - 2023

Grade: 3.7

Awarded a Masters of Arts (Hons) in Business and Finance with focus areas in financial modelling, corporate finance, and financial markets; dissertation on the impact of COVID-19 on QR code payment adoption among undergraduates in Malaysia.

Tech stack

Software and tools used professionally

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