Dr. Ingo Marquart

Subject Matter Lead NLP at statworx

Ingo Marquart has work experience in various roles and companies. In 2012, they worked at TenneT as a member of the Offshore Grid Connection Contracts, Regulation, and Logistics team. Ingo'sresponsibilities included creating a custom application to track and analyze construction progress and contractual fulfillment for transmission lines. Ingo also utilized algorithmic methods to determine time delays and contract breaches, and visualized the data in geo-information systems and Google maps. In 2015, they joined ESMT European School of Management and Technology / BDPEMS as a PHD Fellow & Visiting Researcher. Currently, in 2022, they work as a Consultant Data Science at statworx. The details of their role at statworx are not provided.

Ingo Marquart's education history is as follows:

Ingo Marquart pursued a Doctor of Philosophy (PhD) degree in a Joint Program with HU Berlin, FU Berlin, TU Berlin, and WZB at ESMT Berlin from 2015 to 2022.

Prior to their doctoral studies, Ingo Marquart completed a Master Research degree (equivalent to M.Phil., M.Sc.) in Empirical and Theoretical Economics from Paris School of Economics in 2014-2015. Ingo also obtained a Master's degree in Empirical and Theoretical Economics from University of Paris I: Panthéon-Sorbonne during the same period.

In 2013-2014, Ingo Marquart attended Bielefeld University, where they focused on Quantitative Economics. The degree obtained during this period is not specified.

Before their master's studies, Ingo Marquart completed a Bachelor of Science (B.Sc.) in Economics from the University of Münster from 2009 to 2012.

Ingo Marquart also has a background in Electrical Power Engineering and Management, having studied at RWTH Aachen University from 2007 to 2008.

Furthermore, Ingo Marquart acquired the DeepLearning.AI TensorFlow Developer certification from Coursera Course Certificates in November 2019.

Location

Frankfurt, Germany

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statworx

Willkommen bei statworx! Wir sind eine Beratung für Data Science, Machine Learning und künstliche Intelligenz in Frankfurt am Main. Data Science, Machine Learning und KI sind Schlüsseltechnologien der Zukunft. Neben weitreichenden Chancen für Unternehmen, neue Geschäftsmodelle zu entwickeln, Prozesse zu optimieren und Produkte und Services zu verbessern, entstehen tiefgreifende Transformationen in vielen Bereichen unseres Lebens. Gemeinsam mit Ihnen möchten wir diese Veränderung zum Positiven gestalten. Unsere Mission ist es, durch Daten und KI-Technologien unsere Wirtschaft zu stärken, Menschen und Gesellschaft zu befähigen und unsere Umwelt zu schützen.


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Headquarters

Frankfurt, Germany

Employees

51-200

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