Kasatov Data Analyst
DE Hire me

An engineer who followed the data

From car bodies and launch ramps to Python, SQL, and machine learning: the same instinct, find the root cause and fix the system, now applied to data.

Portrait of Sergey Kasatov
Fig. 1 · Subject Cologne, DE

For 17 years I developed car bodies and closures, audited suppliers, and managed launches for Ford, General Motors, and Stellantis programs. My highest-impact decisions were always data-driven: the KPI packs and quality trend reports I built moved the projects. So I retrained to work with data directly.

Today I use SQL, Python, Excel, and Tableau to analyze production and quality data, build KPI dashboards, and support root-cause analysis. In my engineering roles this approach delivered six-figure cost savings, up to €250k per initiative. Based in Cologne, open to Data Analyst, BI Analyst, and Operations Analyst roles across Germany: on-site, hybrid, or remote.

Status panel · Currently

  • Masterschool, Data Analytics full-time program, term 11 of 13 (AI Enhanced Productivity), finishing September 2026
  • Google Data Analytics certified (Jul 2026); completed Capstone case study on Chicago bike-share
  • Portfolio building manufacturing-focused projects on GitHub and Tableau Public
  • AI-agent workflows certified "AI Agents PRO" (Jul 2026); runs a personal knowledge base that AI agents work in daily

snapshot: July 2026

Languages

EnglishC1
GermanB2
Russiannative
Google Data Analytics Badge

Next Milestones

  • [›]
    Tableau Desktop Foundations · In Progress
  • [ ]
    Power BI Data Analyst (PL-300) · Target Q3 2026
  • [ ]
    AWS Certified Cloud Practitioner · Target Q4 2026

Revision history · Experience

17 years across the vehicle lifecycle

Every side of the OEM-plant-supplier triangle. Read it like a drawing's revision block, oldest first.

RevDateDescription of changeWhere
A2007–2008Process engineering: CNC programs, machining lines, aerospace documentationElaS & KMPO, Russia
B2008–2010Senior Supplier Quality Engineer: 20+ supplier audits, PPAP/APQP for 35 partsSOLLERS · FIAT & ISUZU
C2011–2012Engineering internships: prototype readiness, UHSS repair methods, simulationsFord & Continental, DE
D2013–2014Product Engineer: localized 25 BIW parts, €75k savingsGeneral Motors, RU
E2014–2025Automotive Consultant: development, launch, quality on Ford, Opel, Stellantis programsSEGULA Technologies, DE
F2025–2026Retrained into data analytics: Python, SQL, Tableau, ML · this revisionMasterschool · Cologne
Rev. E · Detail view Apr 2014 – Feb 2025

SEGULA Technologies · Automotive Consultant

Cologne, Germany · long-term assignments at Stellantis, Opel, and Ford

Project Engineer, BIW & Door Components · Stellantis, Rüsselsheim

Jul 2022 – Feb 2025

Led development-to-launch integration for ~100 body-in-white parts and coordinated ~150 engineering changes through ramp-up. A weekly KPI / quality trend pack cut issue time-to-close from ~4 to ~3 weeks and launch-phase rework by ~25%, delivering a €100k cost saving.

Launch Quality Specialist, TSQ · Opel Plant Eisenach

Oct 2020 – Jun 2022

Secured launch quality for Opel Grandland X Facelift serial production: tracked vehicles through assembly, resolved line-side issues, and documented corrective and preventive measures.

Manufacturing Engineer, Launch & Logistics · Eisenach, Rüsselsheim, Trnava

Jul 2019 – Sep 2020

Material-flow analysis for a PHEV introduction, Supermarket and E-Kanban optimization, assembly concepts for new model integration, and robot adaptation for the Peugeot 208 BEV line.

Group Leader, Body Exterior & Interior · Ford, Cologne

Apr 2014 – Jun 2019

Supported 7 vehicle launches with 3 plants and 5 suppliers, leading a team of 3 engineers. Weekly KPI pack for 6 stakeholders tracked SOP readiness of 70+ parts. Standardization and localization initiatives delivered €250k in cost savings.

KPI reportinglaunch managementengineering changeroot cause analysis
Rev. D · Detail view Jan 2013 – Apr 2014

General Motors · Product Engineer

Saint-Petersburg, Russia · Chevrolet, Opel, Cadillac

Localized 25 BIW stamped parts via local suppliers, delivering €75k in savings while meeting release and quality requirements. Built the localization tracker and weekly status reporting; owned SOP readiness for 2 vehicle programs.

Rev. C · Detail view Mar 2011 – Sep 2012

Ford & Continental · Engineering Internships

Cologne & Ingolstadt, Germany

At Ford: 100% prototype-build readiness across 45 Ford Kuga components and UHSS body repair methods that cut estimated repair cost ~15%. At Continental: thermo-mechanical simulations (CATIA, ANSYS) that reduced cooling time for injection-molded parts by 35%.

Rev. B · Detail view Jul 2008 – Sep 2010

OJSC SOLLERS · Senior Supplier Quality Engineer

Yelabuga, Russia · FIAT and ISUZU programs

Audited 20+ suppliers and led corrective-action follow-up. Ran PPAP/APQP for 35 parts across the supplier base, closing 8 critical issues before SOP and supporting launches of 3 vehicle models.

Rev. A · Detail view Aug 2007 – Jul 2008

Early career · Process Engineering

AO PO ElaS & OJSC KMPO, Russia

Developed and validated 8 CNC programs and optimized machining lines (~15% manufacturing cost reduction) for oil pump components; process and quality documentation work in aerospace manufacturing.

Technical specification · Skills

Two toolboxes, one profile

The data stack of an analyst, backed by the quality discipline of an automotive engineer.

Data & Analytics Spec 1/4

SQL Python · pandas Tableau Excel / Power Query Statistics & EDA Data cleaning KPI design & dashboards Data storytelling

Machine Learning & AI Spec 2/4

scikit-learn XGBoost TensorFlow / Keras PyTorch Time series forecasting NLP · TF-IDF · transformers SHAP interpretability AI agent workflows · n8n Prompt engineering Structured LLM outputs AI strategy & governance MLflow Streamlit

Quality & Manufacturing Spec 3/4

Root cause analysis · 8D SPC PPAP / APQP Supplier quality & audits Launch / ramp-up management Engineering change management Lean · continuous improvement

Tools & Platforms Spec 4/4

Jupyter Notebook DBeaver Databricks · Spark SQL Git · GitHub VS Code Obsidian knowledge base

Education & credentials

Engineering degree, data retraining

Sep 2025 – Sep 2026

Masterschool (MSIT)

Data Analytics Program (AZAV) · Advanced Data Science and AI

Full-time hands-on program: Python, SQL, Pandas, Tableau, statistics, machine learning, time series, computer vision, NLP & LLMs, AI-assisted analysis workflows, AI strategy and governance, and automation with agent concepts.

Certificate expected Sep 2026

Oct 2010 – Mar 2013

Technische Hochschule Ingolstadt

International Automotive Engineering, Master's program

Focus: mathematical modelling & simulation, vehicle dynamics, automotive electronics. Research project on BIW repair methods for Ford C-Max. Coursework completed; degree not awarded.

Sep 2003 – Jul 2008

KNRTU-KAI, Kazan

Engineer's diploma, Mechanical Engineering Technology

Part design, process engineering, material science. Diploma thesis: design of a mechanical workshop for oil & gas pump component production.

Graduated with honors

Verified certificates

Google Data Analytics Professional Certificate
Google / Coursera
Jul 2026Verify
AI Agents PRO - Shared Brain for you and AI-agents
Max Postnikov
Jul 2026Verify
Tableau for Data Visualization
Analyst Builder
Nov 2025Verify
Excel for Data Analytics
Analyst Builder
Mar 2025Verify
MySQL for Data Analytics
Analyst Builder
Sep 2024Verify
GD&T and Stack-Up, Basic to Expert
Udemy
Aug 2025Verify
Root Cause Analysis and the 8D Process
Udemy
Aug 2025Verify
Statistical Process Control with Excel
Udemy
Aug 2025Verify
The Production Part Approval Process (PPAP)
Udemy
Aug 2025Verify
Programming Foundations: Databases
LinkedIn Learning
Mar 2022Verify

Inspection reports · Recommendations

What instructors and colleagues say

Report 1/6 · Instructor assessment Source: LinkedIn · public
“Sergey brings a rare blend of strong technical capability, analytical thinking, and excellent communication… This ability to bridge technical modeling with real business value is one of Sergey's greatest strengths. He is technically strong, business-minded, and an excellent communicator.”
Tom Themeles Data Science Instructor, Masterschool
Report 2/6
“He didn't just build charts: he mastered calculated fields, filters, LOD Expressions, parameters, and interactive dashboard design with impressive efficiency… a dedicated professional who understands how to turn raw data into a compelling story.”
Zerihun Waje Data Analyst · Data Scientist · Lecturer
Report 3/6
“Sergey has a strong analytical mindset and a structured way of working… He communicates clearly and works well in a team. I recommend Sergey for Data Analyst / Data Science roles.”
Giannis V. Chatzidis Senior AI Engineer & Technical Product Owner
Report 4/6 · direct manager
“Sergej zeigte eine herausragende Einsatzfreudigkeit, Verlässlichkeit und ein beeindruckendes Maß an Fachwissen… Seine Fähigkeit, komplexe Probleme zu lösen und gleichzeitig den Überblick zu behalten, war beeindruckend.”
Nils Hartmann Senior Sales Manager, SEGULA Technologies (direct manager)
Report 5/6 · team colleague
“I am happy to recommend his logical clear working processes and great skills… I can confirm Sergey is very versatile and capable of all requested of him. It has been a pleasure to work with him.”
Neil Cooper Launch Analyst & Quality Engineer, Stellantis (team colleague)
Report 6/6 · Instructor assessment Source: LinkedIn · public
“Sergey is a highly skilled and technically strong student who consistently focused on how the concepts we learned could be applied in real production environments… Combined with his strong technical background and excellent soft skills, Sergey would be a valuable addition to any AI or data science team.”
Krystyna Isakova Ph.D. Data Science & Analytics Instructor

All recommendations are public on my LinkedIn profile.

Sounds like the profile you need?

Domain knowledge, root-cause discipline, and a modern data stack. Let's talk about your data.

Contact me See the projects
Released for hireeffective 2026-09 · DE