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Data Engineer with 4+ years in Data & Analytics
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Data & Analytics Engineer with 4+ years of experience designing and implementing scalable data solutions in the financial sector. Expert in building real-time data pipelines, dashboards, and predictive analytics systems that drive business impact. Proven ability to bridge technical and business teams, delivering actionable insights that improve operational efficiency, portfolio health, and risk management.
WorldQuant university
MSc · FINANCIAL ENGINEERING
July 10, 2024 – Present
Addis Ababa Science And Technology University
BSc · Elector-Mechanical Engineering
September 20, 2016 – January 20, 2020
COOPERATIVE BANK OF OROMIA
DIGITAL PRODUCT MANAGEMENT & PORTFOLIO ANALYSIS OFFICER
April 25, 2024 – Present
Addis Ababa, Addis Ababa, Ethiopia
COOPERATIVE BANK OF OROMIA
ASSOCIATE DIGITAL LENDING OFFICER
March 24, 2023 – April 24, 2024
Addis Ababa, Addis Ababa, Ethiopia
COOPERATIVE BANK OF OROMIA
TRAINEE INFORMATION SYSTEMS OFFICER
February 28, 2022 – February 28, 2023
Addis Ababa, Addis Ababa, Ethiopia
Loan Portfolio and Credit Risk Analytics System
March 1, 2025 – February 1, 2026
Built real-time dashboards and data pipelines to analyze loan and customer data, enabling actionable insights for portfolio decision-making. Identified high-risk segments and optimized lending strategies, contributing to a huge reduction in default rates.
Loan Collection Management system
November 20, 2023 – July 1, 2025
Developed an automated loan collection system with predictive models for repayment behavior, improving recovery tracking and reducing overdue loans by 20%.
Customer support and Financial advisory system
February 5, 2023 – December 12, 2023
Designed an AI-powered system to analyze customer transactions and provide personalized loan recommendations, increasing product uptake and customer satisfaction.
Machine Learning Engineering
10 Academy and Kifiya Financial Technology
November 10, 2024 – Present
Data Engineering
10 Academy and Kifiya Financial Technology
November 10, 2024 – Present
Cultural Fit Analysis
The candidate's experience in diverse roles within the same financial institution, coupled with certifications in Data Engineering and Machine Learning Engineering, indicates a strong drive for continuous learning and professional development. Their project experience, particularly in financial analytics and risk management, aligns well with roles requiring a blend of technical expertise and business acumen. The focus on real-time systems and predictive analytics suggests a proactive and impact-oriented approach, which would be a good cultural fit for dynamic data teams.
Soft Skills & Operational Fit
The candidate demonstrates strong communication and leadership skills, evidenced by their ability to bridge technical and business teams, deliver data storytelling, and lead cross-functional projects. Their experience in a banking environment suggests an understanding of regulated environments and operational rigor. The project-based learning in certifications also indicates a practical, hands-on approach.