Emile Kelkboom Email & Phone Number | In my almost 24 years career & study, the red line has been that I have always worked with data on many different topics. They ranged from using measurement data to model the system dynamics in my control engineering master’s degree, optimizing the CD laser writing performance at my first job at Philips, extracting robust information out of biometric data during my PhD at Philips Research, and countless other data projects when working at Philips, as consultant at Ordina and most recently at DataStories. Of all these different projects that I have worked on, the ones that I enjoyed the most are the ones related to optimizing manufacturing production lines and diagnosing industry assets for best performance and predict when they fail (predictive maintenance). As freelancer, I have decided to focus on these topics: manufacturing line or process optimization and asset management including system diagnostics and predictive maintenance. As you may have noticed, I haven’t used any of the trendy terms of AI, Machine Learning, or Big Dat. From my experience, it is not always needed to apply one of these trendy methods when you want to optimize your process. You can always expect an objective and unbiased advice from me. If I can be of any help on these topics, feel free to contact me at ejc

Emile Kelkboom

In my almost 24 years career & study, the red line has been that I have always worked with data on m...
Beerse, Flemish Region, Belgium

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Emile Kelkboom’s Email emile.kelkboom@ordina.nl

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Emile Kelkboom’s Location Beerse, Flemish Region, Belgium

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Senior Data Scientist

2021-08-01 00:00:00 - 2022-03-01 00:00:00

Senior Data Scientist

2017-11-01 00:00:00 - 2021-09-01 00:00:00

Senior Consultant / Data Scientist

2013-11-01 00:00:00 - 2017-10-01 00:00:00

Senior Data Scientist on predictive maintenance for Philips CT imaging systems [hired]

2016-03-01 00:00:00 - 2017-06-01 00:00:00

Senior Data Scientist on applying address based fraud risk profiles [Hired]

2014-09-01 00:00:00 - 2015-12-01 00:00:00

Research Scientist

2012-01-01 00:00:00 - 2013-10-01 00:00:00

PhD Student - Reseach Scientist

2006-08-01 00:00:00 - 2010-07-01 00:00:00

Application Engineer

2004-01-01 00:00:00 - 2006-01-01 00:00:00

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Emile Kelkboom is a In my almost 24 years career & study, the red line has been that I have always worked with data on many different topics. They ranged from using measurement data to model the system dynamics in my control engineering master’s degree, optimizing the CD laser writing performance at my first job at Philips, extracting robust information out of biometric data during my PhD at Philips Research, and countless other data projects when working at Philips, as consultant at Ordina and most recently at DataStories. Of all these different projects that I have worked on, the ones that I enjoyed the most are the ones related to optimizing manufacturing production lines and diagnosing industry assets for best performance and predict when they fail (predictive maintenance). As freelancer, I have decided to focus on these topics: manufacturing line or process optimization and asset management including system diagnostics and predictive maintenance. As you may have noticed, I haven’t used any of the trendy terms of AI, Machine Learning, or Big Dat. From my experience, it is not always needed to apply one of these trendy methods when you want to optimize your process. You can always expect an objective and unbiased advice from me. If I can be of any help on these topics, feel free to contact me at ejc_kelkboom@hotmail.com

Emile Kelkboom has prior
experience in the following industries:
Datastories A Partner In Performance | Datastories | Ordina | Philips | Rijksdienst Voor Identiteitsgegevens | Philips Research Eindhoven | Philips Research | Philips Optical Storage

Emile Kelkboom has the following professional experience:
Datastories A Partner In Performance | Datastories | Ordina | Philips | Rijksdienst Voor Identiteitsgegevens | Philips Research Eindhoven | Philips Research | Philips Optical Storage