Gaspard Nzasabimfura
@gaspardnzasabimfura
Data scientist and analyst building ML-driven credit risk solutions and automated analytics.
What I'm looking for
I am a data scientist and analyst with experience designing machine learning credit scoring models, automating reporting, and implementing enterprise business intelligence strategies for banks and development organizations. I apply Python, SQL, PowerBI and modern ML tooling to reduce risk, improve reporting accuracy, and deliver actionable insights.
My background includes developing ETL pipelines, dashboards, and production services that inform stakeholders and improve decision-making. I combine hands-on technical skills with a focus on data literacy and leadership to drive measurable impact across financial and development sectors.
Experience
Work history, roles, and key accomplishments
Data Scientist
Bank of Kigali
Feb 2024 - Present (2 years)
Developed machine learning credit scoring models and decision engines to predict default probability, reducing risk and avoiding rejection of creditworthy applicants; implemented automated reports tracking digital loan performance.
Data Scientist
Rwanda Development Bank
Mar 2023 - Jan 2024 (10 months)
Designed and implemented the enterprise business intelligence strategy including data warehouse, data governance and advanced analytics, and automated reporting processes.
Data Visualization Consultant
Hedera Digital Solutions
Feb 2021 - Jul 2023 (2 years 5 months)
Consolidated datasets from developing countries into a single analytics source and produced visualizations to inform insights on electricity, water, sanitation, and nutrition access.
Business Data Analyst
I&M Bank
Mar 2022 - Mar 2023 (1 year)
Built and automated reporting processes to deliver actionable insights, implemented a client requests tracking system that reduced turnaround time and improved reporting accuracy and frequency.
Data Scientist
Bank of Kigali
Jun 2020 - Mar 2022 (1 year 9 months)
Built data cleansing and reconciliation scripts and supported core banking system data integration to improve data quality for analytics.
Education
Degrees, certifications, and relevant coursework
Carnegie Mellon University
Master of Science, Electrical & Computer Engineering
Master of Science in Electrical & Computer Engineering with specializations in Data Science, Networking & Energy.
University of Rwanda
Bachelor of Science, Electronics & Telecommunication Engineering
2014 - 2018
Bachelor of Science in Electronics & Telecommunication Engineering, involving coursework and projects supporting core banking system needs.
Availability
Location
Authorized to work in
Job categories
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