The lifecycle of data and ML based business innovation is complicated. From quick and dirty explorations to solid operation at Uber scale and everything in between. Naturally, different tools and technologies are suitable for different stages in the lifecycle. From python and SQL to Scala, presto to Spark, elbow grease to automation...I will share what I have learned so far.
From python and SQL to Scala, presto to Spark, elbow grease to automation.
Business impact focused technical leader focused on business innovation using data and ML intelligence. End to end owner of high value innovations in rider pricing, checkout optimization, LTV optimization