Marlene Rezk-Füreder

Marlene Rezk-Füreder Email and Phone Number

Co-Founder @ Diamens
Austria
Marlene Rezk-Füreder's Location
Austria, Austria
Marlene Rezk-Füreder's Contact Details

Marlene Rezk-Füreder work email

Marlene Rezk-Füreder personal email

n/a
About Marlene Rezk-Füreder

Marlene Rezk-Füreder is a Co-Founder at Diamens. He possess expertise in customer experience, pandas, amazon web services, data science, algorithms and 32 more skills.

Marlene Rezk-Füreder's Current Company Details
Diamens

Diamens

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Co-Founder
Austria
Employees:
5
Marlene Rezk-Füreder Work Experience Details
  • Diamens
    Co-Founder
    Diamens
    Austria
  • Inqmate
    Co-Founder
    Inqmate Jan 2022 - Present
  • Zentrum Für Medizinische Forschung
    Phd Student
    Zentrum Für Medizinische Forschung Jan 2020 - Present
  • Diamens
    Co-Founder
    Diamens Jan 2023 - Present

Marlene Rezk-Füreder Skills

Customer Experience Pandas Amazon Web Services Data Science Algorithms Predictive Modeling Microsoft Powerpoint R (Programming Language Data Analysis Data Analytics Json Data Structure Cloud Computing Security Matplotlib Cloud Networking Artificial Intelligence Ibm Watson Apache Zeppelin Microsoft Office Xml Microsoft Excel Jupyter Critical Thinking Critical Reading Numpy Sql Python Panda Aws Cloud Rstudio Problem Solving Machine Learning Cloud Computing Statistics Data Visualization Data Mining Cloud Storage

Marlene Rezk-Füreder Education Details

Frequently Asked Questions about Marlene Rezk-Füreder

What company does Marlene Rezk-Füreder work for?

Marlene Rezk-Füreder works for Diamens

What is Marlene Rezk-Füreder's role at the current company?

Marlene Rezk-Füreder's current role is Co-Founder.

What is Marlene Rezk-Füreder's email address?

Marlene Rezk-Füreder's email address is mo****@****ibm.com

What schools did Marlene Rezk-Füreder attend?

Marlene Rezk-Füreder attended Johannes Kepler Universität Linz, Vetmeduni.

What skills is Marlene Rezk-Füreder known for?

Marlene Rezk-Füreder has skills like Customer Experience, Pandas, Amazon Web Services, Data Science, Algorithms, Predictive Modeling, Microsoft Powerpoint, R (Programming Language, Data Analysis, Data Analytics, Json, Data Structure.

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