Miroslav Kopac

•Python & Data Engineering: Generated a complex synthetic dataset of 10,000+ employee records using the Python; used Tableau to visualize 9-year churn analysis; •Advanced Excel Analytics: Revenue Dashboard that identified a 73% seasonal revenue dip, providing actionable insights for targeted marketing campaigns. •Tableau Visualization & Modeling: dashboards that flagged underperforming products, potentially saving 15% in operational cost by optimizing inventory focus. •SQL & Database Architecture ETL

SQL & Excel Automation: Created Excel automation with SQL-based database system processing 80,000+ daily data points from 100+ curing machines; delivered automated daily threshold recommendations Statistical Process Control: Conducted statistical analysis on large-scale production datasets (100k+ records) to identify quality anomalies. Optimized process parameters using SQL, reducing waste by an estimated 4% and saving €10,000+ annually. KPI Monitoring & Reporting Lean Six Sigma Application

•Cross-Functional Data Analysis: Conducted workflow analysis across 15 international R&D plants reducing cross-plant coordination inefficiencies, saving 2+ hours weekly. •Cost-Benefit & Risk Analysis: Led study for a €70,000 3D plant mapping system; performed risk-reward analysis comparing 2D vs. 3D documentation, identifying critical implementation barriers that saved the company from an unviable investment. •Stakeholder Communication: Coordinated with engineering teams across Germany and global sites