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Raphael Gratz

Raphael Gratz


Data Scientist. I build automated pipelines, reliable reporting systems, and scalable data architectures.

01 — resume

Resume

Experience

[Sep 2023 - Present]

Data Scientist@Heberger GmbH

type :: full-time

Automation with Python / n8n, reporting with Power BI

└─ stackPythonn8n
[Sep 2021 - Dec 2024]

Web Developer@Umskiptar UG

type :: part-time

Full-stack WordPress development

└─ stackWordPressNode.jsPostgreSQL
[Sep 2021 - Sep 2023]

Finance M. Sc.@Corvinus University

type :: student

Quantitative methods, statistics, modeling

└─ stackROOPVBA

02 — projects

Projects

Selected systems and applications

solPX

data / web / astro+polars+lightgbm

solPX

Astro, Polars, and LightGBM. Day-ahead electricity prices using machine learning.

└─ modulesAstroPolarsLightGBM
Baustatistik

data / web / react+maplibre+supabase+n8n+vercel

Baustatistik

React and MapLibre frontend with Supabase/n8n backend, deployed on Vercel. Construction statistics based on Destatis data.

└─ modulesReactMapLibreSupabasen8nVercel

03 — tech

Technologies

Reporting, data architecture, and pipelines

Data Processing

Pandas
Polars
Python

Modeling and Reporting

PostgreSQL
Power BI

Orchestration

Apache Airflow
n8n

Infrastructure

Docker
Linux
Git

Backend & APIs

FastAPI

Frontend

Astro
HTML
CSS
JavaScript

04 — contact

Contact

Open for projects

GitHub

github.com/512rom

LinkedIn

www.linkedin.com/in/raphaelschaefer97/

Email

raphael.gratz@proton.me

Raphael Gratz © 2026