Summary
Murtaza Nazir is a Machine Learning Engineer with eight years of experience building and deploying ML and deep learning solutions for fintech and fraud-detection domains. He has progressed from a data science intern to lead data scientist roles at Perfios and now contributes to Pibit.ai, delivering production-grade models for credit scoring, anomaly detection, and NLP-driven insights. His work emphasizes improving accuracy, efficiency, and scalability in high-stakes financial workflows, with hands-on experience in end-to-end model development and deployment. A BTech in Computer Science from NIT Srinagar and Coursera machine learning certification underpin his applied research and product-focused mindset. Colleagues note his curiosity-driven approach and preference for collaborative, creative problem solving that bridges research and engineering. He is particularly adept at turning complex financial data into actionable, auditable models that drive measurable business impact.
8 years of coding experience
4 years of employment as a software developer
Government Higher secondary school pinglena
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at National Institute of Technology, Srinagar