Based in Nuremberg, Germany

Hi, I'm Hosein Madani

Data Analyst & Biomedical Data Engineer

Data Analyst with practical experience in Complex Data Analysis, Machine Learning, and Data Engineering. Proficient in Python, SQL, and R for end-to-end data workflows, high-dimensional analysis, and automated pipelines.

LinkedIn Email Me
Contact Details
Nuremberg, Germany
+49 157 5364 3274
English (C1) | Deutsch (B1)

Technical Capabilities

Skills & Toolstack

Programming Languages

Python (Proficient), R (Proficient), SQL (Proficient), Neo4j, MATLAB, C/C++, HTML/JS

ML & Data Frameworks

TensorFlow, Keras, Scikit-Learn, NumPy, Pandas, SymPy, Seurat (R)

Tools & Data Pipelines

Power BI, MS Excel, Linux/Ubuntu (WSL), Docker, Git/GitHub/GitLab, CI/CD, Bash Scripts

Career Journey

Professional Experience

Master's Thesis Student

University Clinic of Erlangen | Erlangen, Germany

01/2025 – 10/2025

Thesis Title: "Data Analysis of Fibroblast in Arthritis: A Single-Cell RNA Sequencing Study"

  • Analyzed genome and single-cell RNA sequencing data to extract biological insights using R (Seurat) & Python.
  • Executed pre-processing including quality control, normalization, scaling, and dimensionality reduction (PCA, UMAP, t-SNE).
  • Developed modular, automated analysis pipelines for cell clustering, annotation, and multi-sample integration.
  • Conducted differential expression and cell-type composition analysis across experimental conditions.

Data Analyst

ABIDAT GmbH | Nuremberg, Germany

10/2022 – 01/2024
  • Contributed to data transformation and preparation utilizing Python for processing formats like CSV, JSON, and XML.
  • Created and optimized a graph database (Neo4j) with SQL & Python scripting for Variant Management for a top global automotive brand.
  • Designed algorithms for logical/mathematical relationships using SymPy & NumPy in Python.
  • Worked with Ubuntu (WSL), local hosts, bash scripts, and Docker containers.

AI / ML Engineer & Researcher

Robotics Laboratory of Ferdowsi University

09/2020 – 02/2021
  • Created models for plantar pressure maps using Neural Networks in TensorFlow and Keras.
  • Processed a dataset of 600,000 data points to optimize model prediction maps.
  • Designed pressure sensor insoles to capture ground reaction forces and collected data via STM32 ARM microcontrollers.

Academic Background

Education

10/2021 – 06/2026

M.Sc. Medical Imaging and Data Processing

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Selected Courses: Applied Data Science in Medicine, Pattern Recognition, Machine Learning for Engineers, Computer Graphics.

09/2015 – 09/2020

B.Sc. Electrical Engineering (Biomedical)

Ferdowsi University of Mashhad

GPA: 2.5 (German System) | Ranked in Top 3% in National University Entrance Exam (2015).