Summary
Navruzbek Karamatov is a Data Engineer with eight years of experience who combines a Ph.D. in Economics from Tohoku University with hands-on ML and data engineering practice at Amazon. He has delivered production forecasting, headcount-planning, and anomaly-detection models using RandomForest, SVR, GluonTS and other methods to optimize warehouse operations and financial planning. Previously he built web crawlers, darkweb analytics, NLP-driven sentiment systems and SVM-based security classifiers, and even prototyped Ethereum smart contracts, reflecting a rare mix of applied economics, security-aware data science, and blockchain curiosity. He also designs dashboards and web tools with Django, Tableau and QuickSight to make complex models actionable for cross-functional teams. Based in Tokyo, he thrives in interdisciplinary teams and favors pragmatic automation that reduces manual planning overhead. Unexpectedly for an economist-turned-engineer, he bridges rigorous academic modeling and production-grade software delivery to drive measurable operational impact.
7 years of coding experience
7 years of employment as a software developer
B.S. with honours Economics , B.S. with honours Economics at Westminster International University in Tashkent
Ph.D. Economics, Ph.D. Economics at Tohoku University