Ali Raza is a Data Scientist with nine years of experience specializing in fraud prediction pipelines for financial services, currently applying machine learning and data engineering at i2c Inc. He is proficient in Python, SQL, Pandas and end-to-end model development, with a strong analytical mindset for extracting actionable insights from complex datasets. Ali’s background includes research assistant roles at KICS and a BSc in Computer Science from UET Lahore, reflecting a blend of academic rigor and industry delivery. Known for translating data into production-ready solutions, he focuses on scalable, reliable pipelines that reduce risk and improve decision-making. Though primarily focused on enterprise fraud detection, he pairs hands-on engineering with a curiosity for research-driven approaches to model improvement.
9 years of coding experience
1 year of employment as a software developer
Matriculation, Science, A+, Matriculation, Science, A+ at Government P.B Model High School
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at University of Engineering and Technology, Lahore
FSc, Pre-Engineering, FSc, Pre-Engineering at KIPS College
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