Machine Learning (40 uur p/w)

With a dedicated team we work on a high-end generic data platform, currently in use by various organizations; among them multinationals with hundreds of offices worldwide.

All our colleagues are individually skilled, highly motivated team players and passionate to create simple and user-friendly data solutions that empower organizations with valuable insight and information.

Cohelion provides data integration services to large multinational organizations. One of those is a global air cargo handler that operates in over 300 airports worldwide. 5 years ago we had created a ML algorithm to create forecasts of operational tonnage volumes per station/customer/month. This was made using 8+ years of detailed historical data. A Python script was created by an experienced ML expert that has run since then.

Quite a lot has changed since then:

• More data is available
• The data quality has improved
• Additional requirements have come in, for example to also take regional holidays into account
• Azure Machine Learning has matured
• And perhaps most important: the recent COVID pandemic has distorted many trends in historical data

All of the above makes that a review/update is needed of the current algorithm that takes the above into account.

We do see a possibility this assignment/project can be done within a project group of 2 students.

We expect from this assignment:

• A new algorithm that performs better than the existing one (better means: forecast is
  closer to actuals)
• Ideally it would use Azure Machine Learning services
• Sharing knowledge within our organization

• Experience with time-series forecasting (RNN or otherwise)
• Experience with Azure ML stack (no requirement, but a bonus)

• Large, realistic (but anonymized) data sets
• Current forecasts as benchmark

• a very skilled and “gezellig” team to work with
• beautiful views on the Maas river
• healthy lunch and regular afternoon drinks
• a fair internship compensation