Data science service: programming, analyses and data visualization
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It starts with defining the research or business problem

My passion is helping clients with data projects that have impact.

Projects start with a good idea. A proof of concept (PoC) shows if the idea will work. From that basis, continuous iteration will allow to improve the project to the desired stage.

In collaboration with different teams, I have successfully managed projects from A-Z. This includes computer vision projects, such as object detection, image classification, as well as e-commerce data analyses.


Breaking down the question in different steps

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All projects can be broken down into different building blocks. Often, it includes one or more of the following steps:

  • Implementation of a database
  • Preparation of cloud or local environment
  • Data collection and annotation
  • Data exploration and visualization
  • Data preprocessing and quality inspection
  • Training and validation of machine / deep learning models
  • Deployment of models
  • Monitoring of model performance in production

Examples of applications

Machine / deep learning can be used to classify certain characteristics of a photo without human intervention. For example, it can be used to identify the principal color of a photo, which can be used as tags in aggregated e-commerce sites.
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Object detection is another area of applications. Please see below how it serves in spotting product defects.
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Ruthger Righart
Ferney-Voltaire
France

Email: rrighart at googlemail dot com
Tel.: 0033 (0)770071310

Immatriculation au Registre du Commerce et des Sociétés: 833 982 358 R.C.S. Bourg-en-Bresse. Greffe du Tribunal de Commerce, 32 Av Alsace Lorraine, 01011 Bourg-en-Bresse Cedex.
  • Data Science service
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