Iuliia Kozina
Senior Logistics Consultant Data-driven Decision Making, Scenario Development @DB Engineering & Consulting
Signup · Get unlimited contacts
WORK HISTORY
Senior Logistics Consultant Data-driven Decision Making, Scenario Development @DB Engineering & Consulting
Designed the demand architecture and logistics service concept for a large-scale urban development (600k residents), reducing projected transportation load by 20% and improving forecasting accuracy by 18%- Scoped phased logistics service delivery across 170+ sites and aligned 15+ stakeholders on capacity assumptions, risk boundaries, and implementation sequencing- Developed scenario-based demand models through 2030 by informing infrastructure planning and CAPEX decisions.
EDUCATION
Saint Petersburg State Institute of Technology (Technical University)
Engineer's degree, Biotechnology
Saint Petersburg State University of Aerospace and Instrumentation
Master's Degree, Innovations and Technologies
INSEAD
AI Founder 2025 Sprint
Higher School of Economics
Master's degree, Computational and Applied Mathematics
NUS Business School
Master of Business Administration - MBA, Business Administration, Management and Operations
ABOUT IULIIA KOZINA
I work at the intersection of business strategy, operations, and data, helping transport, logistics, and infrastructure organisations turn complex operational problems into scalable data-driven solutions. For 15+ years, I’ve been designing and orchestrating strategic, analytical, and transformation initiatives across Europe, Central Asia, and Southeast Asia. My work consistently focuses on one thing: aligning business logic, data, and operational processes so companies can operate faster, more efficiently, and with fewer costly mistakes. I’ve delivered more than €500M in measurable business impact, leading initiatives in demand forecasting, operational optimisation, predictive maintenance modelling, and logistics strategy. Recent results include:• +20% forecasting accuracy• –20% projected logistics load enabling CAPEX deferral• –30% infrastructure maintenance costs• –15% operational spend• +20% freight volume uplift with –10% churnMy strength lies in seeing the whole architecture of a problem: operational flows, data dependencies, regulatory constraints, and business logic and converging them into solutions that create long-term and scalable value: i••••••••@u.nus.edu :@JuliaKozina
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.