Daniil Tchistiakov

I solve complex operational challenges by combining Lean Six Sigma methodology with cutting-edge digital technologies like simulation, AI, and Industry 4.0 tools.

With a background in aerospace and high-complexity production environments, I specialize in:

●Leading Kaizen events, Gemba walks, and process optimization

● Building simulation and digital twin models using FlexSim, Simio, and Python

● Applying AI and predictive analytics to improve planning, maintenance, and capacity decisions

● Designing early-stage IIoT strategies for real-time monitoring and smart manufacturing

My approach blends hands-on process improvement with advanced modeling and data science to help companies reduce waste, improve productivity, and make smarter, data-backed decisions.

Industrial Engineer and Strategy Analyst with experience at Boeing, specializing in process optimization, operational strategy, and digital transformation. Led high-impact initiatives in manufacturing, rate readiness, and capacity planning across multi-model production lines. Proven success in driving cross-functional improvements using Lean Six Sigma, simulation modeling, and Industry 4.0 technologies including digital twins, AI, and IIoT.

B.S. in Industrial Engineering from the University of Washington with a focus on process optimization, systems engineering, and simulation. Certified in Lean Six Sigma Black Belt with applied project experience in manufacturing and operations.