Eziz
Muhammedkulyyev
Web Developer & Data Scientist
Data Analyst & Full-Stack Developer at Bosch. Building data-visualization tools, ML pipelines, and production-grade web applications. Currently pursuing an M.S. in Applied Data Science.
Work & Education
Data Analyst & Full-Stack Developer at Bosch with 3.5+ years building production-grade web applications, data-visualization tools, and process-mining solutions across intralogistics, HR, and production. Currently pursuing an M.S. in Applied Data Science at NORDAKADEMIE.
Work Experience
Sep 2022 – Present
Nuremberg, Germany
Data Analyst & Software Developer (incl. Ausbildung)
Bosch
- PFEP-Tool (Plan for Every Part) — end-to-end intralogistics web app integrating SAP and procurement systems; replaced manual workflows and reduced effort by 30% for 20+ internal users.
- VWB-Tool (Verlängerte Werkbank) — data-driven production sub-process app with scan function; eliminated Excel overhead by 20% and became a critical tool for 25+ associates across day, evening, and night shifts.
- SPP (Strategic Personal Planning) — HR tool for dynamic workforce planning: forecasts retirements, contract terminations, and trainee hiring; gap dashboard used by all managers and HR business partners with ~90% efficiency gain.
- MyStuff — contributed to internal used-goods marketplace deployed across Bosch worldwide (~400,000 employees).
- Qualify — contributed to qualification management WebApp for ~1,200 employees covering competence tracking and HR maintenance.
- Designed interactive data-visualization dashboard for production line correlation analysis using Python, Spark, and Databricks.
- Maintained RAG & agentic-AI tool providing maintenance suggestions based on 25+ years of repair data.
- Contributed to Celonis process-mining initiatives; collaborated with international teams to standardise data models and reporting.
Oct 2021 – Aug 2022
Nuremberg, Germany
Volunteer Social Year (FSJ) – Elderly Care
Wohnstift am Tiergarten
- Coordinated daily activities and engagement programmes for elderly residents.
- Provided personalised care and support for residents' daily needs.
Education
Apr 2025 – Apr 2027
Hamburg, Germany
M.S. – Applied Data Science
NORDAKADEMIE – Hochschule der Wirtschaft
- Relevant coursework: Statistical Analysis, Statistical Learning, Machine Learning, Artificial Intelligence, Data Mining, Text Analytics, Process Mining, Reporting & Data Visualization, Data Management, Data Science Project Organization.
Sep 2022 – Feb 2025
Nuremberg, Germany
IT Specialist – Data & Process Analysis (Fachinformatiker)
Bosch
- Completed 3-year dual vocational Ausbildung in 2.5 years (earlier graduation), combining on-the-job training with coursework in data analysis, process analysis, and IT.
Sep 2017 – Jun 2021
Maykop, Russia
B.A. – Linguistics
Adyghe State University
- Focus on theoretical methodology for teaching foreign languages (German and English).
- Thesis: "Grammatical, Lexical, and Semantic Characteristics of Terminology in Computer Programming: A Comparative Study of Russian, English, and German."
Skills & Tools
Languages
ML & Data Science
Data & Analytics
Web & Full-Stack
Databases
DevOps & Infra
Human Languages
On AI in Development
Foundation first
I learned programming before AI became normal in development — from 2019 to 2025, the hard way: documentation, source code, debugging, building things step by step. That background matters now. AI can write code quickly, but somebody still has to know whether the result is clean, secure, maintainable, and actually useful.
I use it every day
Building apps, refactoring code, writing scripts, comparing approaches, understanding new packages — AI is a serious speed boost for all of it. But the good results come from knowing how to explain the goal clearly, how to guide the tool, and how to review what comes back.
Good developers become more valuable
The idea that developers lose their value because of AI is wrong. When programming became easier before, it did not kill software development — it created more software, bigger systems, more functionality. The same is happening now. One strong developer can build things today that used to need a much bigger team.
"AI does not replace developers who understand what they are building. It removes the ceiling on what a single developer can ship."
Projects
Selected projects from infrastructure to machine learning. ML project details will be updated soon.
Self-Hosted Home Server & Smart-Home
LiveDesigned and administer a self-hosted Linux home server running Home Assistant (smart-home automation) and Pi-hole (DNS-level ad blocking). Secure remote access via Cloudflare Tunnel with no inbound ports exposed. Docker-containerised services with backups and uptime monitoring.
Customer Churn Prediction
In ProgressClassical machine-learning project covering the full workflow: data cleaning, feature engineering, model training, evaluation, and visualization. [Description coming soon]
Mental Health Prediction
In ProgressPredictive model for mental health outcomes using classical ML techniques. Full pipeline from data preprocessing through evaluation and interpretation. [Description coming soon]
Contact
Open to new opportunities in Data Science, ML Engineering, or Full-Stack roles. Feel free to reach out.
ezikmuhammed@gmail.com
GitHub
github.com/Zick-del
Eziz Muhammedkulyyev
Location
Nuremberg, Germany
© 2026 Eziz Muhammedkulyyev
Nuremberg, Germany