SAN FRANCISCO, CA | SEPTEMBER 16 & 17, 2016

Kaizen

An applied data conference for data scientists
LEARN MOREBUY TICKETS

Kaizen Data is an applied data science conference focused on data analytics, processing, management, visualization and machine learning.

At Kaizen, you'll learn practical data science and build relationships with the best in the industry.

Speakers



John Doe

Pete Skomoroch

Cofounder and CEO at Skipflag

A data scientist and entrepreneur focused on building intelligent systems to collect information and enable better decisions, Peter Skomoroch is cofounder and CEO of Skipflag, a new startup based in San Francisco.

John Doe

Mohammad Shahangian

Data Scientist at Pinterest

Mohammad leads Discovery Science at Pinterest where his teams are responsible for making Pinterest's billions of daily recommendations relevant. He was Pinterest's first data scientist and initially led the development of the company's core data infra and analytics.

John Doe

Robin Bordoli

CEO at CrowdFlower

Robin is Chief Executive Officer at CrowdFlower having joined the company in February 2015. Robin has spent the past two decades helping high growth companies launch and scale platforms and products into rapidly transforming markets.

John Doe

Jeff Darling

Lead Data Scientist at Clover Health

Jeff is a lead data scientist at Clover Health, a software-driven health insurance company leveraging data analytics and technology to fill gaps in care.

John Doe

Brad Klingenberg

Director of Styling Algorithms at Stitch Fix

Brad Klingenberg is the Director of Styling Algorithms at Stitch Fix in San Francisco.

John Doe

Danny Lange

Head of Machine Learning at Uber

Danny is a serial innovator of large-scale distributed software systems with significant breakthroughs in cloud-based Machine Learning, MapReduce, Mobile-to-Cloud architectures, Mobile Search, Distributed Speech Recognition, Mobile Agents, and Hypertext.

John Doe

Jeremy Stanley

VP of Data Science at Instacart

Jeremy Stanley works closely with data scientists at Instacart who are integrated into product teams to drive growth and profitability through logistics, catalog, search, consumer, shopper, and partner applications.

John Doe

Greg Dingle

CTO at ParseHub

Greg is currently building ParseHub, a tool for scraping the web. Before ParseHub, he worked for Facebook from 2008 to 2016 as a software engineer and co-founded a YC-backed startup, Snipshot.

John Doe

Ronnie Chen

Data Engineer at Slack

Ronnie Chen is a data engineer at Slack. She previously served as a software engineer at Braintree / PayPal and currently advises App Academy.

John Doe

Diana Pojar

Data Engineer at Slack

Diana is a data engineer at Slack. Previously, she served as a software developer at Twitter.

John Doe

Francesco Mosconi

Head of Data Science at Kickback Co

Francesco Mosconi is head of Data Science at Kickback Co. a YC-backed online gaming company, where he leads all data-related initiatives.

John Doe

Alessandro Gagliardi

Lead Professor at GalvanizeU

Allessandro is a Lead Professor at GalvanizeU where he helps teach the next generation of data scientists.

John Doe

Isaac Laughlin

Lead Data Science Instructor at Galvanize

Isaac Laughlin teaches Data Science theory and practice as part of Galvanize's 12-week Data Science Immersive course.

John Doe

Nir Kaldero

Director of Data Science at GalvanizeU

As a data scientist and economist, Nir serves on the faculty of the Masters’ of Engineering in Big Data.

Schedule

Day 1

Hands-on Workshops

8:00 am

Registration and Breakfast

9:00 am

Danny Lange

Keynote: Future of ML for Business

Danny Lange, Uber

Theater

10:00 am

Alessandro Gagliardi

Spark SQL and Joining Distributed Data Frames

Alessandro Gagliardi, GalvanizeU

Theater

Francesco Mosconi

Machine learning on Time Series with Python

Francesco Mosconi, Kickback Co

Speakeasy

11:30 am

Brian Spearing

Word2vec Algorithm: Made as simple as possible, but no simpler

Brian Spearing, GalvanizeU

Theater

Sean Sall

Intro to Neural Networks with NumPy, Theano, and Keras

Sean Sall, Arterys

Speakeasy

1:00 pm

Lunch

2:00 pm

Isaac Laughlin

Scikit-Learn - The Non-Modeling Parts (aka the best parts)

Isaac Laughlin, Galvanize

Theater

Mike Bowles

Intro to Tensor Flow

Mike Bowles, GalvanizeU

Speakeasy

3:30 pm

Coffee Break

4:00 pm

Susan Eraly

Deep learning on Spark with GPUs

Susan Eraly, Skymind

Theater

Matt Conley

How I Use Docker for Data Science

Matt Conley, Tesla

Speakeasy

5:30 pm

Chris Fregly

Spark ML and TensorFlow Models with Kafka, Docker, and Kubernetes

Chris Fregly, PipelineIO

Theater

Seemant Kulleen

Hands on D3.JS

Seemant Kulleen, Finish Up

Speakeasy

7:00 pm

Mohammad Shahangian

Keynote: Data Science at Pinterest - The First 100 Petabytes

Mohammad Shahangian, Pinterest

Cafe

8:00 pm

Mingle and Network

Day 2

Keynotes & Talks

8:00 am

Breakfast

9:00 am

Jeremy Stanley

Keynote: Building Data Science Teams

Jeremy Stanley, Instacart

Cafe

10:00 am

Mingle, Meet Your Neighbors

10:30 am

Jeff Darling

Complexity in Health Data Warehousing

Jeff Darling, Clover Health

Theater

Diana Maria Pojar and Ronnie Chen

Scaling Data at Slack: A Series of Unfortunate Events

Diana Maria Pojar and Ronnie Chen, Slack

Speakeasy

11:30 am

Brad Klingenberg

Machine Learning with Humans in the Loop

Brad Klingenberg, Stitch Fix

Theater

George Xing

Building Analytics at Lyft

George Xing, Lyft

Speakeasy

12:30 pm

Lunch

1:30 pm

Eli Bressert

Data over Matter: Innovating the Next Generation of Products

Eli Bressert, Netflix

Theater

Sharath Rao

Data Science For Product Recommendations At Instacart

Sharath Rao, Instacart

Speakeasy

2:30 pm

undefined

Panel: Will blackbox machine learning platforms supplant data scientists? (i.e. will they be automated?)

Pete Skomoroch (Stealth Startup), Hilary Parker (Stitch Fix), Nick Gaylord (CrowdFlower), Stuart Bailey (Open Data)

Theater

Josh Yudaken

Building domain-specific databases using a distributed log (Kafka & Kubernetes)

Josh Yudaken, Smyte

Speakeasy

3:30 pm

Networking / Nut Butter Break

4:30 pm

undefined

Panel: Generalist vs Specialist: How much of "everything" should you know?

Nicholas Chamandy (Lyft), Todd Holloway (Netflix), Nick Gaylord (CrowdFlower), Katie Kent (Galvanize) as Moderator

Theater

Chris Merrick

Taking SQL Seriously

Chris Merrick, Stitch

Speakeasy

5:45 pm

Robin Bordoli

The 7 Myths of AI

Robin Bordoli, CrowdFlower

Theater

6:45 pm

After Party

Sponsors



Apply to sponsor

Venue

Galvanize

SOMA campus, San Francisco

Galvanize is a learning community for technology. Galvanize's data science immersive is the premier data science bootcamp in the nation. Graduates from the data science bootcamp go on to work at the top companies in the Bay Area.

Tickets



Super early bird

July 1 - Aug 18

$399
Hot!
Early bird

Aug 19 - Sept 5

$499
Regular

Sept 5 - Sept 16

$599
Buy now

Behind the name

"Kaizen" is a Sino-Japanese word that translates to "change for better.” In modern times, the term “kaizen” means “continuous improvement.”

John Doe

True to the name, the spirit of this conference is continuous data science learning and improvement.

Organizers

Jared Polivka
Jared Polvika
Conference organizer

Jared organizes data conferences and improv workshops. He has been involved in the San Francisco data science community for 10 years.

Connor Warnock
Connor Warnock
Community organizer

Connor works at Notable as an engineer and is active in the San Francisco data science community.

Stay in the loop

Subscribe to our mailing list for updated information on tickets and speakers.

Made in San Francisco

© 2016