March Speaker Series: Data Science at Scale

Are you going?

18 spots left


Seer Interactive

1033 N 2nd St · Philadelphia, PA

How to find us

Head to the 7th floor

Location image of event venue


Thanks to this month's sponsors Seer Interactive ( and Iqvia ( for their generous support of DataPhilly! We couldn't make DataPhilly happen without their help. If you're interested in sponsoring future events please fill out our form at

This month we have two excellent talks on Data Science at Scale. Annmarie Stockinger will be giving a talk on "Forecasting at Scale" and Sharath Bennur will be giving a talk on "deploying ML services at scale".

**Forecasting at Scale**
Predictions and projections are hard. This talk reviews how I built out a scalable system for forecasting marketing data that is usable for business applications and audiences. You'll leave this talk with a deeper understanding of forecasting methods and tactics for implementing forecasting on your own.

*About Annmarie*
Annmarie is a Data Science Manager at Seer Interactive committed to bringing data science methods to clients in a usable and reproducible way. Annmarie wears many hats from client side communication to pipelining and loves finding new ways to make marketing more data-driven.

**ML Services at Scale**
A majority of data science projects fail to make it into production. Some common reasons include an inability to scale the models, lack of robust code and processes and insufficient infrastructure around the machine learning. A combination of newer technologies like Kubernetes and Airflow, along with better processes and software engineering best practices can make it significantly easier to deploy ML services at scale. An overview of our learnings around scaling machine learning at enterprise scale will be presented.

*About Sharath*
Sharath Bennur is ML lead at Iqvia, where he builds machine learning services for a number of applications. He’s passionate about how ML is created and consumed within organizations. He also wears a complementary ML architect hat.