Delphin Kaduli

I started out driven by a curiosity for patterns and data signals. What began as an interest in how systems behave has grown into a dedicated focus on building data solutions that deliver clear, automated confidence in high-risk environments.

Today, my primary focus centers on fraud detection, risk analytics, and the modern data engineering pipelines that power them. I bridge the gap between raw data and real-world risk mitigation, ensuring clean architectures, high-precision detection models, and robust monitoring tools that support fraud operations teams.

Looking ahead, I am driven by one foundational question: Does this data help us catch bad actors and make better decisions? That is the standard of excellence I build toward—from data ingestion and SQL analytics to machine learning classification and real-time risk visibility.