Denys Kachynskyi

About Denys Kachynskyi

A manufacturing and continuous improvement professional with over six years of experience in optimizing operational processes, enhancing productivity, and developing data-driven performance systems. At Tegra Medical, I focus on creating and implementing key performance indicators (KPIs) to align production with internal customer demand, enabling better decision-making and operational visibility. My role also involves designing analytics tools, validating SAP rates and cycle times, and managing machine-data systems to ensure data accuracy and usability for operational analysis. My expertise lies in operational analytics, root cause analysis, and workforce capability tools, which I leverage to address challenges and implement sustainable solutions. With a strong foundation in shopfloor operations and ERP/SAP systems, I aim to empower organizations to transform production data into actionable insights and achieve operational excellence. My goal is to drive system-level improvements that enhance productivity, delivery performance, and process stability.

Experience

1. Continuous Improvement Engineer

   Tegra Medical

   Mar 2023 — Present · Franklin, MA, US

   Developed and deployed a plant-level Productivity KPI framework aligned with internal customer demand, improving performance visibility and supporting faster operational decision-making.Built operations performance tools that convert shopfloor and ERP data into actionable insights for leadership, including a universal workload metric to support prioritization and resource planning.Lead SAP rate and cycle-time validation through cost-per-part, setup, inspection, and lead-time analysis to improve planning accuracy and strengthen cost reliability.Own and support machine-data systems, including EOLOS and Shopfloor Connect, ensuring data quality and operational relevance for manufacturing performance analysis.Designed and implemented a structured bottleneck tracking approach to identify throughput constraints, prioritize action, and support long-term productivity improvement.Automated Past Due KPI visibility across production departments, giving leadership more consistent control over delivery risk and operational performance.Implemented a Skill Matrix framework to improve labor flexibility, reduce dependency on individual operators, and support production continuity planning.Use 8D and structured root cause analysis to investigate low efficiency, performance losses, and process instability, helping define sustainable corrective and preventive actions.Established and manage an Idea Box process to capture shopfloor improvement opportunities and convert them into structured operational actions.Support system-level improvement initiatives focused on productivity, process stability, labor utilization, and profitability.

Education

• National Technical University of Ukraine 'Kyiv Polytechnic Institute'​

  Master of Engineering - MEng, Industrial Production Technologies/Technicians

  2010 — 2016