October 21, 2014

Evolving a Machine Learning & Analytics Platform in Python @ Full Stack Toronto Meetup

Our stack is a Python back-end with AngularJS for the front-end. We started with a pretty simple Django app using MySQL with scikit-learn for predictive modelling. Along the way we added Celery and Redis, statsmodels for forecasting, and we’re in the process of moving our data analysis into Cassandra with Spark. This talk will focus on technology choices and how we’ve grown the system from just a few stores to thousands in less than a year.

Brandon from Vantage Analytics presented in Shopify’s Toronto Office for FSTO’s October 2014 meetup. Here’s me notes:

Product info

Vantage Analytics provides information for Shopify (and other e-commerce solution) merchants. It takes in records of customer purchases, and outputs information like trends, predictions, and actions merchants can take to improve their business like suggesting PPC ad campaigns. Data science for small to medium size merchants.

A timeline of growth & change

Jan 2014

Feb 2014

Spring 2014

The team finds the bottlenecks in architecture and infrastructure as features are added and user base grows

Time for changes!

Summer 2014

More changes!

The stack as of now

Lessons from 2014

Next steps

FSTO Audience

Remember FSTO Conf is coming up fast! Get your tickets for November 22 – 23, 2014.

Full Stack Toronto Nov 22-23, 2014

Check out this Meetup →