A collection of 2 posts


Building a serverless, on-demand data science solution

We partnered with DataBlade (DB) this year to build out a serverless data science solution for one of our clients’ main business needs, revenue forecasting. In this post I will discuss our architecture for the final product and how we overcame some implementation obstacles. ProblemThe client needed a way to

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This post discusses the high level tech stack decisions for our first product Segments by Tresl, and how we got there. Tresl uses a hybrid approach of consulting and product to connect businesses with data science. Consulting gives us a direct channel to customers; we get to solve real problems

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