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IntroduceMe - Graphing LinkedIn

Build a tool that enables our (sales) consultants to see how we can connect to a certain customer, consultant or colleague.

Description of the assignment

  • The idea from this project is to import linkedIn connections from our sales consultants and
    then build a graph database using that data.
  • Next build a tool using this graph database so that we can query fast and visually show how
    we can link up with a colleague.
  • We’d like to visualize network characteristics and so on…

Goals

  • The project has to be built from conception through product with a UI deployed in the cloud,
    using a graph database in order to make visualizations and do some basic data analysis.
  • Ideally the network is synced realtime with a linkedin API and expose an API so that for
    instance our employee advocacy tool can integrate with the application.

What you will gain

  • You will learn to prototype and adjust minor errors
  • You will learn real-time data captation and processing
  • You will explore all kinds of possibilities of different sensors
  • You will gain knowledge and experience in designing and producting a machine learning
    solution
  • That lovely feeling you’ll get knowing your product will in effect contribute to a neater trash
    management system. It will effectively be used in our offices!

What you need

  • Creativity and the will to succeed
  • A motivated personality that can handle setbacks
  • You see the bigger picture when it comes to making software and hardware work together
  • You want to learn everything about real-time data and stream processing
  • You can’t wait to learn a heck of a lot in a relatively limited time period.
Technologies you'll be using
  • Machine Learning
  • Python
  • Java
  • Deep Learning Framework (e.g. TensorFlow, Keras, ...)
  • Apache Kafka
  • Kubernetes
  • Docker
  • Flask - Rest API
Location of your assignment

Veldkant 33B, 2550 Kontich

Your mentor

Kevin Smeyers – Technical lead machine learning ToThePoint

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