Chris Amor Email & Phone Number | Senior data leader building high performance data engineering, data science and analytics functions. Leading transformation to a 'data culture' through the development of technical, operational, cultural and strategic tools and ways of working. As a proud 'data geek' I'm a passionate advocate for the value of a data driven approach and the opportunities for businesses and organisations to leverage the value of their data for sustained competitive advantage and leading the adoption of data culture and data driven mindsets. Expertise in big data engineering (Hadoop, Spark, Beam), migrating to and leveraging cloud services (AWS & GCP), statistical analysis and machine learning (R, Python, SparkML, Tensorflow) and data visualisation (Tableau, Qlik, D3.js)

Chris Amor

Senior data leader building high performance data engineering, data science and analytics functions....
Louth, England, United Kingdom

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Chris Amor’s Email chris.amor@o2.co.uk

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Chris Amor’s Location Louth, England, United Kingdom

Chris Amor’s Current Industry Street

Chris Amor’s Prior Industry Wm Morrison Supermarkets | Victoriaplum Com | Aviva | York St John University

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Head of Data Applications

2021-07-01 00:00:00 - Present

Senior Technology Manager - Analytics & Data Science

2016-08-01 00:00:00 - 2021-07-01 00:00:00

Head of Analytics & Insight

2014-01-01 00:00:00 - 2016-07-01 00:00:00

Operations Manager

2011-09-01 00:00:00 - 2013-12-01 00:00:00

Undergraduate student

2009-09-01 00:00:00 - 2012-05-01 00:00:00

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Chris Amor is a Senior data leader building high performance data engineering, data science and analytics functions. Leading transformation to a 'data culture' through the development of technical, operational, cultural and strategic tools and ways of working. As a proud 'data geek' I'm a passionate advocate for the value of a data driven approach and the opportunities for businesses and organisations to leverage the value of their data for sustained competitive advantage and leading the adoption of data culture and data driven mindsets. Expertise in big data engineering (Hadoop, Spark, Beam), migrating to and leveraging cloud services (AWS & GCP), statistical analysis and machine learning (R, Python, SparkML, Tensorflow) and data visualisation (Tableau, Qlik, D3.js)