Anomaly detection for customer implementations
@Adobe Systems Romania, în Bd.Timisoara, București, Municipiul București, România


Adobe Analytics: Video

Adobe Analytics for Video is an add-on to the base Analytics offering that provides clients with robust video measurement for content, audio and advertisements. Video Analytics provides many benefits to customers to allow for real-time monitoring, detailed analysis, actionable insights and monetization opportunities. Adobe Analytics for Video enables clients to track the full customer journey across their site, which includes video consumption, and these measures are easily integrated into Analytics reporting and other Experience Cloud products

The challenge:

One of the main challenge in having correct video analytics data is having a correct customer implementation. There are multiple ways of validating data during implementation phase but the set of issues might be different with the extended number of customer flows available after release to production. This project is targeting to define a set of rules for what a correct implementation means and being able to validate customer implementations against this set of rules to identify potential issues.

What you’ll do:

  • Learn about the principles and best practices of Agile Software Development
  • Build a web app (Java/Python) using Splunk APIs and taking advantage of Splunk’s advanced set of features to constantly refine the definition of a correct implementation
  • Add anomaly detection algorithms to identify problematic implementations that would also trigger actions like sending alerts and identify proposed remediation action plan
  • Work with a Product manager to constantly adjust the scope for the features based on needs.
  • Showcase your prototype


What you need to succeed

  • Knowledge of Java and/or Python
  • Knowledge of web technologies: Javascript, HTML/CSS

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