Red Ventures Data Science & Engineering

Topological Data Analysis for Practicing Data Scientists

How TDA can help you capture local and global…

How To Build A Better Bandit

Improving Contextual Bandits with Rich Interaction Features

Linear Algebra for Machine Learning

Foundational ideas, musings, and examples

How to Make Good Decisions

Using bandit policies to efficiently learn as you go

Create and Deploy a Machine Learning Model Pipeline in Spark

As data scientists at Red Ventures, we define ourselves as Type B data scientists, which differs from the role of business intelligence or data analysts. Besides providing business insights to drive actionable items, we are…

The 2019 Queen City Hackathon: A Personal Account

How to do Cost-Sensitive Learning

Be right in classification modeling when it matters most

Securing MicroServices

At RedVentures we have been benefiting from migrating our architectures to MicroServices for a few years. These fine…

My First Foray into Spark MLlib

As a data science team that’s always working to increase efficiency, especially when it comes to pushing…

Queen City Hackathon — Developing an Interactive Shiny Application to Benefit the City of Charlotte

Strata NYC 2017 and the State of Data Engineering

One of the great things about working for Red Ventures is the investment they make in the development of their employees. Engineers are provided with plenty of resources for learning and development, as well as the opportunity to attend…

Overhauling our Data Warehouse with Data Vault

How we used data vault to create a backroom processing layer in our data warehouse architecture.

At Red Ventures, we model our analytic data in a Kimball-style dimensional model that is queried by analysts and used by SSAS…

Business value of Polyglot programming

Many years ago, after working with PHP for about 8 years, I was pushed to start development…

MLeap: Providing (Near) Real-time Data Science with Apache Spark

How MLeap allowed us to scale our existing predictive platform from our local machines to Apache Spark in the cloud with zero loss of functionality and sub-second response times.