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SOUTHERN CALIFORNIA CONFERENCE

AI, DATA SCIENCE AND MORE…

Oct. 26, 2019

Los Angeles Convention Center

Features

SoCal Conference Introduction

The SoCal Data Science Conference is a data science learning platform designed to connect data science enthusiasts. We will demonstrate cutting-edge technology and feature data science experts discussing a wide variety of topics including industry trends, data science applications, open-source software, machine learning, and much more.

This is the must-attend event for anyone who is already in the field or just looking to expand their career network within the Data Science arena.

Keynotes & Panels

Our multiple tracks offer a diverse selection of trending topics, including Artificial Intelligence & Automation, Big Data and Infrastructure, Machine Learning and Deep Learning, Data Visualizations, Data AnalyticsHealthcare & IOT, Business Practice, and Data Security.

The topics covered will involve many industries, including Healthcare, FinTech, Retail, Media, Manufacturing, Insurance, Education, E-Commerce, and more.

Both industry-leading companies and startup firms will present at the conference and demonstrate innovative data analytics technologies. Previous featured speakers included those from IBM, Intel, Capital One, City of Los Angeles, Caltech, Alibaba, Accenture AI, and several other industry-leading companies.

Expo & Recruiting

The exhibition and recruiting event aims to build a platform for tech companies to interact with our audience. Audience would have a chance to be in touch with most advanced technology and experts in Data Science area, Audience could also find opportunities in world top Data Science companies.

To become an exhibitor, please send email to [email protected] to request registration form.

Training Session

 

The 2nd-day training session will provide an orientation on up-to-date technology from high tech companies. So far, our training program includes:

    1. “Python for Machine Learning Ecosystem,” from Kyle Polich, Host at Data Skeptic Podcast.
    2. “Intro to NLP (Natural Language Processing),” from Edward Ding, Machine Learning Engineer at Dropbox.

Organizer

Jason Geng
Chair of Board at IDEAS

 Speakers

Mark Scardina
Director at Oracle
Mike Yung
Data Scientist @ Uber
Andrew Zhang
Watson Data and AI IBM
Sonali Sharma
Senior Data Engineer at Netflix
Daniel Won
Senior Software Engineer at Lyft
Anubhav Bhatia
VP Engineering at SAP
Alagappan Sethuraman
Software Engineer, Data Platform at Lyft
Nirmal Budhathoki
Data Scientist at Wells Fargo
Dennis O’Neill
CEO at O'Neill Capital Advisors
John Daly
President at Algomus
Chong Ho Yu
Associate Professor at Azusa Pacific University
Pavel Dmitriev
Vice President of Data Science at Outreach
Meina Zhou
Senior Consultant, Data Scientist at Indellient
Mayank Kejriwal
Research Lead/Research Professor at Information Sciences Institute
Alex Ermolaev
Director of AI at Change Healthcare
Adeel Najmi
Chief Product Officer at LevaData
Gyan Prakash
Senior Algorithm Developer at Applied Materials
Aleksandra Kudriashova
Senior Software Engineer at Astro Digital
Jerry Power
Executive Director, Institute for Communications Technology Management (CTM) at University of Southern California
Laura Noren
VP at Obsidian Security Inc.
Dave Nielsen
Head of Community & Ecosystem Programs at Redis Labs, Inc.
Cesar Acosta
PROFESSOR at University of Southern California
Edward Mehr
CEO at Cyberpunk Lab
Michael Housman
Chief Data Science Officer at RapportBoost.AI
Vladyslav Ivanov
Data Scientist
Samuel Berger
CIO at CLEAR Financial Technologies
Juan Vasquez
Data Programs Manager at City of Los Angeles
Albert Fattal
AI and Blockchain Research Scientist at California Polytechnic University
Artur Kiulian
Member at Colab
Ryan Wang
Founding Partner at Outpost Capital
Scott Kelly
Advisor at blackdogventurepartners.com
Zechariah Krautwurst
Technical Product Manager
Cathy Tanimura
Sr. Director of Analytics & Data Science at STRAVA
Corinne Powers
Sr. Data Scientist at RETINA
Ali Arsanjani
Sr AI/ML Specialist at Amazon Web Service
Michael Broughton
Founder at University of Southern California
Mark Fidelman
Chief Marketing Officer
Christian Kameir
Managing Partner at Sustany Capital
Ashwin Krishnan
COO at UberKnowledge
Habeeb Syed
Corporate and Securities Partner
Alex Nascimento
Co-Founder at 7ccinvest.com
Rayaan Arif
Founder - Principle at Fundingtree.com
Jeremy Musighi
Chief Investment Officer / Director of Blockchain Strategy at immutable.capital
Andrei Konan
Sr. Staff Firmware Engineer at SK hynix memory solutions Inc.
Noel Gomez
Data Science Manager at convexa.ai
Alex Reeves
Data Scientist at Data Skeptic
Nektar Baziotis
President at ENKI Inc.
KC chohan
Founder at togethercfo.com
Cho-Nan Tsai
CTO CISO at Camino Financial
Steve Rimar
CEO & Founder at Analytica Consulting
Marina Shumaieva
President & CTO at CruiseBe INC
Chad Peiper
Chief Architect, Verif-y Inc
Jayesh Patel
Sr Data Engineer at Rockstar Games
Ganapathi Pulipaka
Chief Data Scientist | SAP Technical Lead at Accenture
Peter Voss
CEO/ Chief Scientist at Aigo.ai
Neal Fultz
Principal consultant at njnm consulting
Pavel Ferreri
Worldwide Leader, Global Strategy & Sales, IBM Cloud Platform
Michael Izatt
Chief Data Scientist at Hitachi Consulting
Shilpa Balan
Assistant Professor at California State University
Irina Kukuyeva
Data Science Consultant & Founder at Kukuyeva Consulting
Malco Wu
Senior Staff Data Scientist/Consultant at Futurewei Technologies
Tess Badun
Data Scientist at Dig Insights
Mark Donsky
Senior Director of Product Management at Okera
Andrew Zhang
VP of Tech and AI at kinestry.io
Kyle Polich
Data scientist at Data Skeptic
Jay Kim
Senior Data Scientist at SoCalGas
Shefali Dua
Chief of Staff Analytics at Genpact
Federico Rosenhain
Business Developement Principal @ Analytics Center of Excellence, SAP
John Chao
Co-founder and CEO, Tresl, Inc.
Druva Reddy Tiruvuru
Cloud Data Engineer @ Pluto7 Consulting Inc
Alexis Roos
Sr Manager, Data Science at Twitter
Joseph Chen
Vice President, Data Science at SMG - Service Management Group
Lydia Gaid
Student, Azusa Pacific University
Min Zhang
Head of Investment Technology at United Capital
Ameya Gokhale
Data Scientist at Stackline.
Jules Hilliard
CEO @ Secure Block Technologies
Morvareed Salehpour
Managing Partner @ Salehpour Legal Consulting

Major Session Tracks

Attendees have access to a broad range of session talks. Here are some insightful topics covered in this year event:

Artificial Intelligence

  • Artificial Intelligence: Hype, Reality, Vision.
  • Battling Skynet: The Role of Humanity in Artificial Intelligence
  • Deep Learning for Ad Mix Optimization
  • Generating Creative Works with AI
  • Introduction to Deep Reinforcement Learning

Fintech

  • Big Data Credit Assessment
  • Data Analytics Drives FinTech
  • How data science is transforming wealth management
  • Blockchain Application in Real Estate Transactions

Entrepreneurship

  • Pioneering the World’s First Public Data Utility
  • “Full Stack” Data Science with R for Startups: Production-ready with Open-Source Tools

Big Data

  • Deep Learning in Spark with BigDL
  • MCL Clustering of Sparse Graphs
  • Distributed Database DevOps Dilemmas? Kubernetes To the Rescue!
  • Data Science at City Scale
  • Operationalizing Your Data Lake: Get Ready for Advanced Analytics

Healthcare

  • Using AI to Tackle the Future of Health Care Data
  • Potential Solutions from Precision Medicine for the Crisis of Chronic Disease
  • Machine Learning in Healthcare and Life Science

Data Analytics

  • Machine Learning & Data Science in the Age of the GPU: Smarter, Faster, Better
  • Uncovering Feature Importance and Correlations in Human Behavioural Data

Sponsors And Partners

Contact us to review the full benefits and details of the partnership package.


Our Previous Sponsors


Venue

(Enter through South Hall on Figueroa Street)


About Us

OUR MISSION

We build a data science hub to connect real-world knowledge and provide robust resources for business leaders, academic professionals, and promising students. Our vision to foster the data science ecosystem and broaden the adoption of the technology. We empower and accelerate the growth of the community by offering online resources, conferences, latest industry trend and data science job opportunities.