Harvinder Atwal Email Address

Interim Chief Data Officer

MoneySuperMarket.com is an internet company which specializes in financial, insurance, travel, and home_services.

I lead a function of 75 data professionals responsible for the entire data lifecycle including data acquisition, data management, data governance, cloud and on-premise data platforms management, data engineering, business intelligence, product analytics, and data science. My interest is using data to enhance customer experience and improve business performance. I’m the author of "Practical DataOps - Delivering Agile Data Science at Scale", published by Apress, New York and a Microsoft Certified Data Scientist. I'm excited not just by algorithms but also the people, culture, processes, and technology change needed to deliver value from data. With many years of analytical experience in multiple industry sectors, the results have been: •Higher profitability through improved decision-making, optimisation, and personalisation •Creation of high performance and high retention Data Science and Analytical teams. Colleagues value me for my analytical background, organisation, coaching, ability to answer complex questions and create simple solutions with data, keen personal interest in data science and data management, fast delivery, experience of explaining complex analysis to a wide range of people, and up-to-date knowledge of new technology. Specialties: Building and Managing Data Analyst/Data Science teams | Data Strategy | Marketing Optimisation | Personalisation | Predictive modelling | Data Visualisation | Data Science and Machine Learning | Google Cloud Platform | SQL | Python I’m also active in the data science community and have spoken at many meetups and conferences including O’Reilly Strata Data Conference 2018, ODSC London 2016 (Europe’s largest applied data science conference), and CDO Forum 2017. Speaker and advisory board member at Data Leaders Summit Barcelona 2016, 2017 & 2018. Follow me on twitter (@HarvinderSAtwal), for the best Data Science, Big Data, and Machine Learning stories.