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Employee Marc Jermann
Employee

IT-Consultant | Machine Learning Engineer

LANGUAGES
90%
English
100%
German
90%
French
80%
Spanish
MY TOPICS

- Technical IT Consulting
- Business Intelligence
- Dev Ops
- Data Engineering | Data Science
- Software Development

ABOUT

Year of Birth: 1993

Nationality: Swiss

EDUCATION

- Master of Science FHNW in Medical Informatics
University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland
- Bachelor of Science FHNW in Life Science Technologies
Specialization: Biomedical Informatics, University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland

BI SYSTEMS & Dev. Frameworks

Linux:  Ubuntu, Debian

BI Data Analytics: 
Python Pandas, Scikit Learn, Seaborn, Pytorch Tableau, Power BI, R, Java, Knime

Cloud & DevOps tools  Oracle Cloud, Azure, Jenkins, Github, GitLab, Docker, Docker Swarm

INDUSTRY & ROLE

Software Engineer

Project Manager | Data Engineer | Technical Lead 

Engineering Research

Scientific Associate | Trainer | Project Manager

Fundamental Biology Research

Project Associate | Technical Advisor

PROFESSIONAL EXPERIENCE

IT Consultant | Machine Learning Engineer

CONSENSO GmbH 1 month

Scientific Assistant | Software Developer

University of Applied Sciences and Arts Northwestern Switzerland 1.5 years

Biology Research Technician

University Hospital of Basel 8 years

F.Hoffmann – La Roche AG 1 year

AREAS OF EXPERTISE

Standards & Interoperability

  • In depth experience with clinical & healthcare information exchange standards for interoperability (CDISC, HL7, FHIR, SNOMED)

 

Teaching

  • Teaching of Fundamentals in IT and Python Programming for ongoing Master Students
  • Supervision and coaching of Bachelor and Master Thesis

 

Research

 

Project Lead in the Development of Neuroscience Data Management System

 

Project Associate in the Development of a Personalized Health Platform

  • Investigation of Autoimmune Diseases by applying machine learning models and clustering algorithms to anonymized patient data to classify patients into separate risk categories
  • Optimization of machine learning models

 

Project Lead in digitalized pharmacological research

RELEVANT EXPERIENCE

IT Project Management

  • Project lead in Data Management Applications, AI-Implementation and System Integration Projects

System Landscape

  • Managing servers (Linux-based) and hosting applications (Oracle, Docker, Nginx)

BI & Data Analysis

  • Creation and Management of BI Dashboards using Tableau and Power BI for insight into the data
    • Analyzing data using libraries such as Pandas, Matplotlib, Seaborn and custom scripts

Software Development

  • In depth experience and hands-on knowledge in the Development of Full stack Software solutions
    • Springboot, Flask, Django
    • React, HTML, CSS
    • Docker, Docker Swarm, Nginx
  • Skilled Python and Bash Scripting to build customer solutions and automations
  • Managing API Development tasks and building custom endpoints based on customer needs

 

Machine Learning & Data Science

  • Applying cutting edge ML models and solutions to customer specific data
    • Leveraging Classification, Regression, Clustering, Neural Networks etc.
    • Using modern libraries such as Scikit Learn, Tensorflow, Keras, PyTorch

 

Process Management and Automatization

  • Automating workflows using ETL and flow management. tools (Mage.ai, Airflow)
  • Decision  and Process Modelling with BPMN & DMN
  • Process Automation using Make, Camunda.
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