Impostor Free Zone: Data Science at Numerator My name is Alex Kreig, Head of Data Science at Numerator, and I have a secret to tell you: most of the time I feel like I don’t know enough. While “enough” is admittedly an arbitrary measure of competency, the chasm between what
how-to Failure as a Service April 2017, about 2 months after I joined the Insights Platform team in San Francisco, we noticed an all-too-familiar issue for a startup: we were moving so quickly (at least
On Demand QA Environments The Problem Let's just lead with this. The Engineering team at Numerator will double in the next year... An engineering team generally doesn't go from 20 - 40 or 40 - 80 without some demand from customers. This demand from customers requires more engineers
Hackdays at Numerator This past week saw the conclusion to our most recent company-wide Hack Day at Numerator. Each quarter we set aside 2 days for anyone to work in teams, or solo,
Auto-Scaling Vertica Clusters With consumer purchase data, business questions are only limited by imagination. What is the purchase frequency for Pepsi among Hispanics in the Northeast?Share of wallet Amazon has among regular
Large Scale Migration to Amazon Aurora Recently, the platform team at InfoScout completed a large infrastructure migration to swap our primary transactional database from AWS RDS MySQL to AWS Aurora. The project was a success on
Receipt Store Detection via Tensorflow Inception Model The Motivation InfoScout’s data analytics and business intelligence platform is built on top of receipts. A lot of receipts... Receipts today come in many different shapes, sizes, and vary
HPE Vertica at InfoScout Our dataset at InfoScout is unique. For one, it's large - now the largest purchase panel in the world providing item-level data across all retailers. Secondly, all data is tied
Bananas, Hananas, Jananas: A Tale of Typos The core of InfoScout’s business intelligence platform is built on top of receipts. Hundreds of thousands of receipt images are uploaded by shoppers from all over the country, every
