Reseach Scientist, Rakuten
Moise Convolbo is a data scientist and research scientist at Rakuten, where he’s harnessing the potential of customer data in reaching “zero customer dissatisfaction.” He built a platform called the Rakuten PathFinder, which empowers product stakeholders such as PDMs, managers, and test engineers to focus on specific struggles along the users’ journeys in order to improve the company’s products and measure their business impact. It’s currently used by Rakuten Gora (the #1 golf course reservation site in Japan), Rakuten toto (the #1 lottery betting site), Rakuten O-net (the #1 match-making web service), and Rakuten Keiba (a horse racing betting service). Moise has had a long experience working with data, the cloud, and geodistributed data centers. He’s always been fascinated by what comes next, in terms of utilizing data from strategic data-informed business decisions. He’s active i academia and has spent time as a reviewer for major big data, cloud optimization, and data science journals from ACM, Elsevier, Springer, and the IEEE.
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