Data Scientist with experience building AI solutions for medical imaging in a regulated healthtech environment. Research Experience in MRI recon.
Aktualisiert am 28.09.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.10.2026
Verfügbar zu: 100%
davon vor Ort: 100%
Python
Data Engineer
Machine Learning
data analysis
Dashboard
English
fluent
Hindi
native
German
A2

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

1 Jahr 2 Monate
2025-08 - heute

various

Junior Data Scientist
Junior Data Scientist
  • AI solution with Regulatory & Compliance
    • Contributed in software logic and AI solution with a focus on explainability and compliance
    • Contributed to development of a prototype of a medical device software with CE Class IIa certification
    • Applied structured problem-solving methodologies to develop certification-ready medical software solutions
    • Data handling, ETL, working with structured and unstructured data
  • Machine Learning & infrastructure
    • Implemented and evaluated classification and contrastive learning models
    • Worked on classification model with multimodal data
    • Implemented experiment tracking and reproducible machine learning workflows
    • Testing the model and algorithm development via PyTest.
  • Data Engineering & Annotation
    • Developed data pipelines for processing medical images and metadata which help maintain data reproducibility
    • Performed skin lesion image annotation for medical AI datasets.
    • Dashboard creation to keep track of data quality (completeness), performance on existing algorithm
  • Research & Documentation
    • Documented experiments, methodologies, and technical findings
    • Worked on results and statistical analysis for the submission of scientific research papers.
Magnosco GmbH
7 Monate
2024-03 - 2024-09

AI solutions in medical imaging

HiWi student
HiWi student
  • Experimented on diffusion-based models for MRI image and k-space data, applying AI solutions in medical imaging.
  • Assisted in algorithms and programming sessions for students, supporting lecture exercises.
Artificial Intelligence in Biomedical Engineering (AIBE)Lab
10 Monate
2023-11 - 2024-08

Preparation of the master's thesis

Master's thesis topic: upon request
  • Developed and trained score-based diffusion models on fastMRI brain datasets using PyTorch.
  • Implemented distributed training setups to handle computationally intensive datasets efficiently on high-performance computing resource.
  • Solved MRI inverse problems for undersampled data, improving reconstruction quality while reducing Gibbs ringing artifacts.
  • Significantly enhanced image quality for 16x accelerated imaging
1 Jahr 2 Monate
2022-08 - 2023-09

Digital Products and services

Working student
Working student
  • Proficiently employed Qlik Sense, Excel, and Python for advanced data analysis and visualisation.
  • Visualized insights from the dataset obtained from MR log files, enabling product performance evaluation following the upgrade.
  • Provided statistical evaluation of MR machine workflows.
  • Created compelling presentations and decision templates, aided in informed decision-making processes, and facilitated product upgrade strategies.
Siemens Healthineers, Erlangen
5 Monate
2022-11 - 2023-03

Finger kinematics

Prediction of Finger Kinematics using AI model from surface EMG electrode grids
  • Implemented a modified AI model to predict hand kinematics from EMG.
  • Conducted hyperparameter tuning to optimize prediction performance
2 Jahre 4 Monate
2019-06 - 2021-09

Management and transformation of data from CRM platforms

Assistant Systems Engineer
Assistant Systems Engineer
  • Managed and transformed data collected from CRM platforms for business analytics.
TATA Consultancy Services Limited, India

Aus- und Weiterbildung

Aus- und Weiterbildung

3 Jahre 5 Monate
2021-10 - 2025-02

Studie - Medical Engineering (Medical Image & Data Processing)

Master of Science, Friedrich-Alexander-Universität Erlangen-Nürnberg
Master of Science
Friedrich-Alexander-Universität Erlangen-Nürnberg
3 Jahre 10 Monate
2015-08 - 2019-05

Studie - Biomedical Engineering

Bachelor of Engineering, Government Engineering College, Gujarat Technological University, Gandhinagar
Bachelor of Engineering
Government Engineering College, Gujarat Technological University, Gandhinagar

Kompetenzen

Kompetenzen

Top-Skills

Python Data Engineer Machine Learning data analysis Dashboard

Produkte / Standards / Erfahrungen / Methoden

Profile
Data Scientist with 1+ year experience building AI solutions for medical imaging in a regulated healthtech environment. Additional 2+ year experience in data engineering and Digital product services. Skilled in end-to-end ML workflows?from data pipelines and model development to experiment tracking and python programming. Research Experience in MRI reconstruction with AI.

Skills
  • Machine Learning
    • CNN, U-Net, Diffusion models, Autoencoders,Weights & Bias, MLFlow,Self supervised learning
  • Medical Imaging
    • Preprocessing, Transformation, MRI Reconstruction, Skin lesion annotation, Classification model, Annotation tool design
  • Data Visualization
    • Matplotlib, Plotly, Seaborn, Qlik Sense

Programmiersprachen

  • Python 
    • Numpy
    • Pandas
    • Matplotlib
    • Pytorch
    • Scikit-learn
    • OpenCV
    • Pytorch
  • Linux scripting
  • Docker
  • Git
  • Claude Code
  • DVC
  • GPU
  • Pytest

Datenbanken

MySQL
Excel
ETL

Einsatzorte

Einsatzorte

Deutschland
möglich

Projekte

Projekte

1 Jahr 2 Monate
2025-08 - heute

various

Junior Data Scientist
Junior Data Scientist
  • AI solution with Regulatory & Compliance
    • Contributed in software logic and AI solution with a focus on explainability and compliance
    • Contributed to development of a prototype of a medical device software with CE Class IIa certification
    • Applied structured problem-solving methodologies to develop certification-ready medical software solutions
    • Data handling, ETL, working with structured and unstructured data
  • Machine Learning & infrastructure
    • Implemented and evaluated classification and contrastive learning models
    • Worked on classification model with multimodal data
    • Implemented experiment tracking and reproducible machine learning workflows
    • Testing the model and algorithm development via PyTest.
  • Data Engineering & Annotation
    • Developed data pipelines for processing medical images and metadata which help maintain data reproducibility
    • Performed skin lesion image annotation for medical AI datasets.
    • Dashboard creation to keep track of data quality (completeness), performance on existing algorithm
  • Research & Documentation
    • Documented experiments, methodologies, and technical findings
    • Worked on results and statistical analysis for the submission of scientific research papers.
Magnosco GmbH
7 Monate
2024-03 - 2024-09

AI solutions in medical imaging

HiWi student
HiWi student
  • Experimented on diffusion-based models for MRI image and k-space data, applying AI solutions in medical imaging.
  • Assisted in algorithms and programming sessions for students, supporting lecture exercises.
Artificial Intelligence in Biomedical Engineering (AIBE)Lab
10 Monate
2023-11 - 2024-08

Preparation of the master's thesis

Master's thesis topic: upon request
  • Developed and trained score-based diffusion models on fastMRI brain datasets using PyTorch.
  • Implemented distributed training setups to handle computationally intensive datasets efficiently on high-performance computing resource.
  • Solved MRI inverse problems for undersampled data, improving reconstruction quality while reducing Gibbs ringing artifacts.
  • Significantly enhanced image quality for 16x accelerated imaging
1 Jahr 2 Monate
2022-08 - 2023-09

Digital Products and services

Working student
Working student
  • Proficiently employed Qlik Sense, Excel, and Python for advanced data analysis and visualisation.
  • Visualized insights from the dataset obtained from MR log files, enabling product performance evaluation following the upgrade.
  • Provided statistical evaluation of MR machine workflows.
  • Created compelling presentations and decision templates, aided in informed decision-making processes, and facilitated product upgrade strategies.
Siemens Healthineers, Erlangen
5 Monate
2022-11 - 2023-03

Finger kinematics

Prediction of Finger Kinematics using AI model from surface EMG electrode grids
  • Implemented a modified AI model to predict hand kinematics from EMG.
  • Conducted hyperparameter tuning to optimize prediction performance
2 Jahre 4 Monate
2019-06 - 2021-09

Management and transformation of data from CRM platforms

Assistant Systems Engineer
Assistant Systems Engineer
  • Managed and transformed data collected from CRM platforms for business analytics.
TATA Consultancy Services Limited, India

Aus- und Weiterbildung

Aus- und Weiterbildung

3 Jahre 5 Monate
2021-10 - 2025-02

Studie - Medical Engineering (Medical Image & Data Processing)

Master of Science, Friedrich-Alexander-Universität Erlangen-Nürnberg
Master of Science
Friedrich-Alexander-Universität Erlangen-Nürnberg
3 Jahre 10 Monate
2015-08 - 2019-05

Studie - Biomedical Engineering

Bachelor of Engineering, Government Engineering College, Gujarat Technological University, Gandhinagar
Bachelor of Engineering
Government Engineering College, Gujarat Technological University, Gandhinagar

Kompetenzen

Kompetenzen

Top-Skills

Python Data Engineer Machine Learning data analysis Dashboard

Produkte / Standards / Erfahrungen / Methoden

Profile
Data Scientist with 1+ year experience building AI solutions for medical imaging in a regulated healthtech environment. Additional 2+ year experience in data engineering and Digital product services. Skilled in end-to-end ML workflows?from data pipelines and model development to experiment tracking and python programming. Research Experience in MRI reconstruction with AI.

Skills
  • Machine Learning
    • CNN, U-Net, Diffusion models, Autoencoders,Weights & Bias, MLFlow,Self supervised learning
  • Medical Imaging
    • Preprocessing, Transformation, MRI Reconstruction, Skin lesion annotation, Classification model, Annotation tool design
  • Data Visualization
    • Matplotlib, Plotly, Seaborn, Qlik Sense

Programmiersprachen

  • Python 
    • Numpy
    • Pandas
    • Matplotlib
    • Pytorch
    • Scikit-learn
    • OpenCV
    • Pytorch
  • Linux scripting
  • Docker
  • Git
  • Claude Code
  • DVC
  • GPU
  • Pytest

Datenbanken

MySQL
Excel
ETL

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