4 Talk Sessions

We are offering you 4 talk sessions focusing on Data Engineering, ML Platforms, Data Science, and AI Products.

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1 Workshop Session

Join our workshop session to acquire valuable hands-on experience alongside top people in our field, and focusing on key technologies.

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Max - 500

Tired of mega-conferences where it's hard to network? We are too, so we cap attendance at 500. Expect highly-skilled data scientists, engineers, analysts & engineering managers.

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Born to Be Open Source

We believe in Open Source; code, content and mentality. We feature top open source contributors and tools at our talks. Afterwards, we publish all content for the community, for free.

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Community-Powered

We are a diverse group of geeks, coders, scientists, analysts (& a former astronaut serving your lunch). We care deeply about local data communities, no big $/€ sponsors here, just data nerds, like you & me.

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Networking That Works

Experience our popular "Speaker Office Hours" format. Through our intentional matching opportunities you'll meet data influencers who will positively impact your career.

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San Francisco Speakers

  

Catherine Tarsney

Analytics Director

Democratic National Committee

Kelley Rivoire

Engineering Manager

Stripe

Max Beauchemin

Creator of Apache Superset & Apache Airflow

Stealth

Josh Ferguson

co-founder and Chief Architect

Mode

Andy Eschbacher

Senior Data Scientist

Carto

Hedi Razavi

Co-Founder & COO

Keewi

Kai Brusch

Data Scientist

Airbnb

Andrew Hoh

Product Manager

Airbnb

Austin Wilt

Head of Product Analytics

Slack

Anish Doshi

Machine Learning Engineer

Trifacta

Bonnie Barrilleaux

Data Science Manager

LinkedIn

Durgam Vahia

Product Manager

LinkedIn

Greg Neiheisel

Co-Founder & CTO

Astronomer

Karthik Ranganathan

Co-Founder & CTO

YugaByte

Sid Choudhury

VP, Product

YugaByte

Igor Canadi

Software Engineer

Rockset

Spencer Barton

Data Scientist

Branch International

Andrew Colombi

Co-Founder & CTO

Tonic

Amit Ramesh

Software Engineer

Yelp

Praneeth Vepakomma

Researcher

Massachusetts Institute of Technology

Gian Merlino

Co-Founder & CTO

Imply

Arun Krishnaswamy

Lead Data Scientist

Workday

Rupa Parameswaran

Security Architect

Demandbase

Abe Gong

Co-Founder & CEO

Superconductive

Alex Ratner

Author of Snorkel

Stanford University

Kishore Gopalakrishna

Stealth

Founding Engineer

Robert Nishihara

Machine Learning Researcher

UC Berkeley

Barr Moses

CEO & Co-founder

Monte Carlo

Luke Merrick

Data Scientist

Fiddler Labs

Carl Gold

Chief Data Scientist

Zuora

Eric Colson

Chief Algorithms Officer

Stitch Fix

Daragh Sibley

Director of Data Science

Stitch Fix

Anitha Kannan

AI Researcher

Curai

Ryan Smith

Data Scientist

Wootric

Paul Cothenet

Co-founder & CTO

MadKudu

Ali Hamidi

Lead Data Engineer at Heroku

Salesforce

Edwin Ong

Technical Partner

TinyData

Nishith Agarwal

Senior Software Engineer

Uber

Matt Seal

Senior Software Engineer

Netflix

Austen Head

Senior Data Scientist

Quid

Neelesh Srinivas Salian

Software Engineer

Stitch Fix

Ethan Guo Yihua

Software Engineer

Uber

Bin Fan

Founding Member of Engineering

Alluxio Inc

Tao Feng

Software Engineer

Lyft

Jin Hyuk Chang

Software Engineer

Lyft

Jerome Nilmeier

Data Scientist & Developer Advocate

IBM

Lauren Chircus

Product Manager, Data Quality & Analytics Frameworks

Airbnb

Julian Hyde

Architect

Looker

Masha Danilenko

Founder

LadyEng

Sid Anand

Hacker at Large, Co-chair @ QCon & Data Council, PMC & Committer @ Apache Airflow

Apache Software Foundation

Prasanna Padmanabhan

Engineering Manager

Netflix

Daniel Francisco

Product Management Lead

Google AI

Souvik Ghosh

Principal Staff Engineer, AI

LinkedIn

Krishnaram Kenthapadi

Principal Scientist

Amazon AWS AI

Robert Winslow

Co-founder & CTO

EraDB

Reza Shiftehfar

Software Engineering Manager, Hadoop Platform

Uber

Paul Lappas

CTO

Intermix

Jennifer Prendki

Founder & CEO

Alectio

Chris Hartfield

Sr. Data Platform Engineer

Clover Health

Sumedh Pathak

Co-Founder & VP Engineering

Citus Data

Tathagata Das

Lead Developer of Spark Streaming

Databricks

Fred Moyer

Software Engineer

Circonus

Julien Le Dem

Principal Data Engineer

WeWork

Corey Bort

Data Engineer

Facebook

Eric Hanson

Principal Product Manager

MemSQL

Addison Huddy

Product Manager, R&D

Pivotal

Jacques Nadeau

Co-founder & CTO

Dremio

Ruben Kogel

Director of Data Science

VSCO

Jaya Kawale

Sr. Research Scientist

Netflix

Elliot Chow

Software Engineer

Netflix

Mike Conover

Principal Data Scientist

Workday

Evan Sparks

Co-Founder & CEO

Determined.ai

Shoumik Palkar

Ph.D Student

Stanford University Infolab

Mayukh Bhaowal

Director, Product Management

Salesforce

Juliet Hougland

Data Platform Engineer

Stitch Fix

Asif Khalak

Director of Data Science

Collective Health

Sergio Martinez-Ortuno

Staff Data Scientist

Collective Health

Christopher Wilkins

Senior Staff Data Scientist

Uber

David Lundgren

Data Scientist

Opendoor

Xinlu Huang

Data Scientist

Opendoor

Joseph Gonzalez

Assistant Professor & Co-Director

UC Berkeley

Shubha Nabar

Senior Director, Data Science

Salesforce

Omoju Miller

Senior Data Scientist, Machine Learning

Github

Jocelyn Goldfein

Managing Director

Zetta

Lisha Li

Principal

Amplify PartnersAmplify Partners

Leo Polovets

Founding Partner

Susa Ventures

Jonathan Heiliger

General Partner

Vertex Ventures

Tarush Aggarwal

Director of Data Engineering

WeWork

Soups Ranjan

Head of Financial Crime Risk

Revolut

Liz Bennett

Data Platform Engineer

Stitch Fix

Jared Polivka

Former Director of Developer Evangelism

Galvanize

Nicholas Schrock

Founder & CEO

Elementl

Raghu Murthy

Founder & CEO

Datacoral

Montana Low

Team Lead Manager

Instacart

George Fraser

Co-Founder & CEO

Fivetran

Johannes Leppä

Data Engineer

Komodo Health

Vivek Kaushal

Senior Software Engineer

Netflix

Nader Azari

Software Engineer

Uber

Yifan Ma

Software Engineer

Uber

Nikhil Simha

Software Engineer

Airbnb

Gwen Shapira

Product Manager

Confluent, Inc

Vishakha Gupta-Cledat

CEO

ApertureData

Krishna Gade

CEO & Founder

Fiddler Labs

Mark Grover

Product Manager

Lyft

Alyssa Ransbury

Security Engineer

Square

Kathy Baxter

Architect of Ethical AI Practice

Salesforce

Zineb Laraki

Einstein.Ai Product Management

Salesforce

Vitaly Gordon

Co-founder & CEO

Faros AI

Edo Liberty

Founder

HyperCube

Michael Armbrust

Engineering Lead for Delta Lake

Databricks

Luis Remis

CTO

ApertureData

Jeremy Cohen

Associate Product Manager

Fishtown Analytics

Haytham Abuelfutuh

Software Engineering Manager

Lyft

Emmanuel Ameisen

ML Engineer

Stripe

Talk Sessions

Data Engineering

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Our Data Engineering track gives practical examples of full-stack data architectures, data pipelines and plumbing systems, as well as reference examples of ETL functions & workflow schedulers. The track explores the stories behind the challenges faced by experienced engineers when building modern data infrastructures, and features key open source projects our speakers are keen to share with the community.

ML Platforms

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The ML Platforms track focuses on the practice of moving machine learning systems from development to deployment, and the next-generation tooling that makes this an organic process. Removing barriers to deployment allows data scientists to gain quicker feedback and deeper insights into how models are performing in the wild, and enables nimbler experimentation at the product level.

To do this, new machine learning workflows are taking advantage of serverless and container orchestration technologies, and also specializing frameworks towards certain classes of data science problems.

This track is for the hands-on practitioners who fluidly cross the boundary between research and deployment.

Data Science & Insights

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The field of data science often delivers value in multiple ways to a business. One way is in the development of predictive data features such as personalization and recommendations, fraud detection and mitigation, home automation, self-driving cars, etc… Another common way is to drive decisions and insights within a company. For example, did the web or mobile feature you just released increase engagement? Are we on track to make earnings this quarter? How about more operation-centric insights? Can we detect a complex failure pattern due to a new code release before it takes down our site? Data science can be used to build both internal and external solutions that drive a business. Come to this track to learn about recent innovations in this space that highlight full-stack data science solutions.

AI Products

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The AI Products track demonstrates the intersection of applied DS/ML methods in product form, covering topics such as full stack product development of data-oriented products, product-based implementations of new research methods, and machine-learning powered features inside products (i.e. recommendation systems, NLP based features, scoring, etc.). This is a product-focused track, where talks are usually given by technical founders or product managers with a technical background.

Past San Francisco Talks

VIEW MORE TALKS

VIEW THE SCHEDULE

Apr 17, 2019 1548320400000

Welcome, announcements & track host intros (Pete Soderling)

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Apr 17, 2019 1548321300000

Keynote 1

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Apr 17, 2019 1548324000000

Talk 1

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Our 2020 Partners Include:

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IBM
Watchful
Braintree
Fishtown Analytics
Soda Data
Databricks
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Unique Break-out Workshops

We're offering special workshops (included in the ticket price) for all attendees at our events to experience special hands-on demos, training sessions, and talks on how to get started using cool data tools. The workshops are designed to give you hands-on experience in getting up and running with the most powerful data tools on the market. These will be hosted as break-out sessions throughout the day, and you are free to attend as many of them as you like. With Data Council your ticket ALWAYS includes everything.

Full details on the workshop themes will be posted to the conference schedule and shared on this site.

Max 500: We are not a “mega-conference”

We aim to keep attendance below 500 people for any Data Council event or conference. We've been there too, and we know the reason you attend conferences is not to be sold to or lose yourself in a massive sea of attendees.

Aiming for fewer than 500 attendees ensures that you have a fair chance to engage with speakers 1:1 on your favorite track during Speaker Office Hours. It's worth noting that this is not a watered-down "mega-conference," but an intentional community-powered conference for engineers & scientists, by engineers & scientists, like yourself!

Generally, our conferences attract between 300-500 people depending on the season, location, and speakers.

Speaker Office Hours: Meet your crowd

Most speakers hold "office hours" after their talk, which are a great opportunity to take the discussion further in a smaller setting. 

Unlike Q&A where you are usually limited to asking one question, you will be able to have an in-depth back-and-forth discussion with the speaker and like-minded attendees - a great way to learn more and build long-term relationships.

Attendees often mention Speaker Office Hours as one of their favorite perks of attending our events.

What Our Attendees Say

Data Council was really great. The vibe and culture were exactly what I felt from following the RSS feeds, Twitter, watching YouTube, etc. for the last couple of years, and what attracted me to want to come to the event. I will be recommending it to friends! It was a real pleasure speaking.

Baron Schwartz

CTO & Founder
VividCortex

Baron Schwartz - CTO & Founder
Just wanted to reach out to thank you for the opportunity to speak at the conference. As a conference it was very informative and the talks inspired some of my software design approaches. I'm sharing my experiences with my team to help spread the knowledge.

Neelesh Sailan

Senior Software Engineer
Stitch Fix

Neelesh Sailan
Data Council is a really a great conference for technical talks with real insights to data engineering challenges and solutions. As an engineer who works on open-source software I found it helpful to hear first hand from users that are working on real world challenges.

Maximilian Michels

PMC Member Apache Flink & Apache Beam
Independent Contractor @ Google

Maximilian Michels

Pre-Register For Data Council San Francisco 2021

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Want to present a talk at our next data science & engineering event? Barcelona, New York, San Francisco or Southeast Asia, the choice is yours! Our event will include hundreds of attendees and many speakers from top data teams across different industries. To make each event better than the last, we're welcoming the community to contribute their talk ideas.

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Want to volunteer at our next data science & engineering event? Barcelona, New York, San Francisco or Southeast Asia, the choice is yours! Our event will include hundreds of attendees and +50 other speakers from top data teams at tech, healthcare, finance and media companies.

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