Part designation:
Role: Data Analyst · BI / Operations · Cologne, DE
I turn production, quality, and business data into decisions people can act on.
17 years of automotive engineering on Ford, GM, and Stellantis programs, retrained into data. Python, SQL, and Tableau, backed by the 8D discipline of a quality engineer.
Section A-A · Why this profile
Most analysts learn the domain from dashboards. I spent 17 years inside it: plants, suppliers, launch ramps. Then I learned the data stack.
I have stood at the line where the data is produced: plants, suppliers, launch ramps. I know what the numbers mean physically.
8D, SPC, PPAP/APQP: a root-cause discipline that transfers directly to analytics. Hypothesis, evidence, corrective action.
Years of aligning OEMs, plants, and suppliers: I explain models and metrics to non-technical stakeholders without losing the substance.
Parts list · Featured
Every metric is reproducible from the linked repositories. Two projects run live right now.
Retail demand forecasting end to end: 10+ models compared (SARIMAX, Prophet, XGBoost, LSTM), tuned with HyperOpt, tracked in MLflow, shipped as a Streamlit planning tool.
Which fleet vehicles need maintenance, what it will cost, and how to segment risk: classification, regression, and clustering on 92,000 rows, explained with SHAP.
Interactive Tableau dashboard tracking sales, profit, discount, and orders with drill-downs by region, category, and time. Self-service analysis for non-technical users.
“Sergey brings a rare blend of strong technical capability, analytical thinking, and excellent communication… He is technically strong, business-minded, and an excellent communicator.”
Open to Data Analyst, BI Analyst, and Operations Analyst roles in Germany from September 2026. Happy to discuss a concrete data problem in manufacturing, quality, or operations.