Project Overview

Prior to building Apteo's ecommerce personalization platform, my startup, Apteo, created a no-code data science tool that could be used by anyone. The goal of the product was to provide every employee in a company with the tools they needed to make data-driven business decisions without having to get trained in data science. The tool had data connectors that would allow anyone to connect data from a variety of different data sources (spreadsheets, databases and data warehouses, API tools, etc) and centralize that in a single place. From there, they could create and serve their own A.I. models on this data, create visualizations, run correlations, run a variety of analytics on that data.

Key features of the project included:

• The ability to connect datasets from multiple sources, including databases, data warehouses, files, and third party platforms
• The ability to visualize and analyze data
• The ability to build an A.I. model to predict any column in any dataset using a point-and-click UX, along with the ability to identify key factors within that model and the ability to serve that model via an API