Data Con LA 2020 is a wrap!!
Thank you for helping us make it successful.
We look forward to seeing you again next year.
Videos / 2020
Slides / 2020
Keynote Speakers / 2020
Panels / 2020
Data 4 Good – Keynote Panel
Data 4 Good is an organization that was launched in 2019 with the promise of using data to help deal with social issues. Since it launched, it has attracted a public – private consortium of industry leaders as part of the advisory board. It has also launched four pods – Data Portal, Data Literacy, Clean Air and Project Proof(targeting racial inequality). This panel invites the leaders of all four pods to give their perspectives on what it takes to design and execute on diverse projects using data to tackle social relevant issues, while collectively building a nonprofit as the scaffolding for their work.
Keynote Moderator

Karen Borchgrevink
Karen is creator and Executive Director of LA Tech4Good, an early stage nonprofit startup at the intersection of social impact and technology in SoCal. She is compelled to create space for people to engage in battles raging over tech and society, and to move the needle on tech as a force for social change in unprecedented times. Her career path has ranged across digital transformations in publishing and printing, from Hollywood to nonprofit, and now focuses on expanding the breadth and depth of “tech for good.”
Keynote Panelists

Xavier Kochhar
Xavier Kochhar is a media and technology executive, entrepreneur, investor, and direct-to-consumer subject matter expert. He is best known as the founder and CEO of The Video Genome Project, a video personalization engine and user experience company that built the largest, broadest, and most granular structured database of video content, by developing a method of finding and creating deep, relevant and granular information on video content (film, tv, online video), programmatically. These granular pieces of altogether new metadata, or “genes”, were then used to provide hyper-personalized recommendations and targeted content to consumers. Because of its accuracy and simplicity in the video discovery process, the company became known as “the Google of video”. The Video Genome Project was acquired by Hulu to create a more powerful way to surface the right content to the right user at the right time, in both live and on-demand environments. Currently a senior executive within AT&T, Inc., Xavier was most recently the chief strategy and business development officer of WarnerMedia's Direct-to-Consumer division. He was previously the Managing Partner of Medialink, acq. by Ascential plc (LSE: ASCL), and has served in senior executive roles at The Walt Disney Company, the William Morris Agency (WME), and L.E.K. Consulting.

Jeanne Holm
Jeanne is the Chief Data Officer and Senior Technology Advisor to the Mayor at the City of Los Angeles, helping 4,000,000 people use data for innovation, equity, health and safety, and founded the Data Science Federation. She was formerly the Evangelist for open data for the White House under President Obama, the leader for Africa open data for the World Bank, and the Chief Knowledge Architect at NASA, and is a Distinguished Instructor at UCLA, a Trustee of Claremont Graduate University, a Fellow of the United Nations International Academy of Astronautics, on the Global Leadership Board for Time's Up, and an advisor to the UN.

Savina Hawkins
Savina Hawkins is an entrepreneur with a successful exit to a tech unicorn under her belt as well as a professional interdisciplinary user researcher. She employs a design-research approach to entrepreneurship and innovation. Both her masters and undergrad degrees were in self-designed, interdisciplinary fields: she studied networked narratology, text technologies, symbolic systems and the self at Stanford, and she studied democratic innovation, advanced technologies, smart cities, the politics of aesthetics and philosophy of design at Harvard Design School.

Todd Terrazas
Todd Terrazas is a social entrepreneur, collaboration catalyst, and the Executive Director of the AI LA Community and Data 4 Good non-profits. Todd has over a decade of experience working in the LA startup community, developing products, marketing strategies, brand identities, and producing events to educate, inspire, and accelerate innovation for social good.
Accessibility Challenges of 2020
While 2020 has been a challenge to billions of people around the world, the pandemic and shift to the virtual world has hit People with Disabilities in a unique way. Where technology is accessible, it might potentially be a net positive. But for people who have spent years finding accommodation in the physical world to shift to what is often an inaccessible world, there are particular challenges. We will explore this theme with our esteemed panelists.
Moderator

Joe Devon
Joe is a serial entrepreneur who has been helping grow the Los Angeles tech ecosystem since 2008, before Silicon Beach was a "thing." His experience includes co-founder at Diamond (https://diamond.la), an inclusive digital agency, and thought leadership as the co-founder of Global Accessibility Awareness Day (https://globalaccessibilityawarenessday.org/).
Panelists

Bryce Johnson
Bryce is the Inclusive Lead for Microsoft Devices where he is devoted to ensuring Microsoft products are accessible. Bryce initiated and designed the first Inclusive Tech Lab at Microsoft, which has now hosted over seven thousand visitors; it is a facility where people can explore how people with disabilities interact with Microsoft games, services, and devices. Bryce is one of the inventors of the Xbox Adaptive Controller ever since he was a lead on its project at the 2016 Microsoft One Week Hackathon.

Lori Samuels
Lori Samuels is the Accessibility Director at NBCUniversal. She leads strategic accessibility programs to institute best practices in inclusive design, provide training for product teams, drive cultural maturity in disability inclusion, and fortify executive sponsorship.

Karo Caran
Karo co-leads Accessibility (or a11y) initiatives at Google Play. She ensures that the Play products can be accessible by users with diverse needs. In this role, she helps to create the culture in which a11y is a core part of the product development cycle. Through various Play initiatives for external developers, she brings a11y awareness to app developers throughout the world. She has a PhD in Education. Outside of work, she writes novels and poetry and enjoys bringing her creativity back to her day job.
Think in Color
The panel will discuss multi-generational solutions on how data influences society for people of color. We will examine strategies on how for profit and nonprofits are addressing these challenges.
Moderator

Michelle Emelle
Michelle is a second year volunteer at Data Con LA. She is passionate about innovations which transform the tech industry like Code Talk, TechHire and TEALS. She has lived in Los Angeles her entire life, has two daughters, enjoys running, biking and roller skating.
Panelists

Ericka Odom
Ericka ia an African-American female tech geek. She chose to change careers in late 2017 and began her journey. She discovered a passion for frontend development. Getting into the industry has not been easy but the pursuit of her passion is worth it. She graduated CodeTalk in January 2019 and she was very grateful for that program.

Lima Muhammad
Lima has enjoyed hercareer journey thus far and she is happy to currently be working in tech at the Honest Company as a Quality Assurance Analyst. She is responsible for supporting the business team (DTC & Engineering) by ensuring feature releases and promotions satisfy all specifications and requirements. She looks forward to continuing to be an asset to the Honest QA, DTC, and Engineering team and collaborating on many projects to come. Entering the world of tech a couple of years ago has been a wonderful transition to changing my trajectory. She holds degrees from the University of California, Davis (BS), Grand Canyon University (MBA), and a certificate from Code talk (Front End Web Dev), which all play a huge part in her continued desire for better opportunities in tech to grow and reach career milestones.

Miesha Robinson
Miesha Robinson is a serial entrepreneur and tech leader in the events industry. She is the founder & CEO of Ucrowd LLC which is a ticketing platform for event curators and attendees to create, discover and sell tickets online. After earning her bachelors degree in Marketing from California State University Dominguez Hills, Miesha began to successfully advance in the corporate world while simultaneously developing several businesses and organizations to encourage the youth in the inner city to explore technology and entrepreneurship.

Linda Mejia
Linda is a full stack developer at the City of Los Angeles Mayor's Office of International Affairs, working on the Sustainable Development Goals Data Reporting Platform.

Tahnee Bedward
Tahnee Bedward is a Software Developer at a Property Management company in the Los Angeles area. Tahnee has a background in Biotechnology, holding several positions within the field at companies such as Kite Pharma and Gilead Sciences. Tahnee holds a Bachelors degree in Biology from California State University Northridge. Her love for technology was birthed from her father who has many years of experience in the field. This love has led her to make the recent transition to Tech.

Lori Gray
Since 1984, NHS has developed and rehabilitated more than 25,600 housing and commercial units, placed 4.6 million families on the road to homeownership, created 247 block clubs, employed over 250 neighborhood youth, and invested more than $7.1 billion back into some of Los Angeles County’s toughest neighborhoods. NHS protects more than $2.2 billion of home values annually through its loss mitigation, preservation, and counseling work.
Women in Data Science
This panel will discuss about the latest data science-related research in a number of domains, to learn how leading-edge companies are leveraging data science for success, and to connect with potential mentors, collaborators, and others in the field.
Moderators

Kristianna Chung
Harnham is the global lead in data & analytics recruitment with expertise in Data Science, Data & Technology, Marketing Analytics and Digital Analytics. Kris leads the data science and machine learning team and built out the Southern California Data Science market for Harnham. She has successfully led and filled multiple searches ranging from senior data scientist up to CTO level.

Karla Guerra
Karla helps lead the Data Science & AI recruitment practice at Harnham, the global leader in Data & Analytics recruitment. She partners with top companies to hire the most in-demand professionals in the Machine Learning, Deep Learning, Computer Vision and NLP space.
Panelists

Kerry Weinberg
Kerry Weinberg leads Data Science for Digital Health & Innovation at Amgen. Her team focuses on applying emerging data analytic techniques like machine learning and artificial intelligence to improve Amgen’s agility, better reach patients, and improve digital health by better identifying patients, treating them, and enabling their adherence. Prior to this role, Kerry led AI strategy for Process Development at Amgen. Before joining Amgen, Kerry received her MBA and M.S. Biological Engineering from MIT as part of the Leaders for Global Operations Program. She previously led systems engineering efforts for high-speed cell sorters at Beckman Coulter. Kerry holds a B.S. Biological Engineering also from MIT.

Sonali Son
As a data science leader, Sonali's passion is to deliver value & impact to both people and product through data, analytics, models, and algorithms. Today she primarily does this by building and scaling data science at Snap by aligning specialized skills with business strategy, leading teams, and building effective partnerships with other organizations.

Stacey Ronaghan
Stacey Ronaghan is a Senior Data Scientist at IBM, working with customers across a range of industries. As a practitioner, she facilitates their AI journey: from identifying key opportunities within their business to writing the code that solves the problem. Stacey is an advocate for Responsible AI and has contributed to open source packages for AI Fairness and AI Explainability.
Tips for Writing an Effective AI and Deep Learning Book
This panel will focus on exciting conversations around various book-authoring topics such as
- Proposing the book,
- Managing your writing time,
- Selecting a co-author,
- Not selecting a co-author,
- Writing a preface,
- Drawing the images,
- Choosing the chapter titles,
and much more.
Moderator

Chris Fregly
Chris Fregly is a Developer Advocate for AI and Machine Learning at Amazon Web Services (AWS) based in San Francisco, California. He is co-author of the O'Reilly Book, "Data Science on AWS." Chris is also the Founder of many global meetups focused on Apache Spark, TensorFlow, and KubeFlow. He regularly speaks at AI and Machine Learning conferences across the world including O’Reilly AI & Strata, Open Data Science Conference (ODSC), and GPU Technology Conference (GTC). Previously, Chris was Founder at PipelineAI where he worked with many AI-first startups and enterprises to continuously deploy ML/AI Pipelines using Apache Spark ML, Kubernetes, TensorFlow, Kubeflow, Amazon EKS, and Amazon SageMaker.
Panelists

Jess Haberman
Jess Haberman is senior acquisitions editor at O'Reilly Media, collaborating with tech industry leaders to develop instructional content related to data science, data engineering, and data architecture. She is a writer, managing multiple writing and discussion groups. She has presented at and facilitated technical conferences, publishing seminars, and writing retreats. Jess has worked in publishing for 13 years.

Dean Wampler
Dean Wampler is an expert in data engineering for scalable streaming data systems and applications of machine learning and artificial intelligence (ML/AI). He is a Principal Software Engineer at Domino Data Lab. Previously he worked at Anyscale and Lightbend, where he worked on scalable ML with Ray and distributed streaming data systems with Apache Spark, Apache Kafka, Kubernetes, and other tools. Dean is the author of several books and reports published by O'Reilly on data systems and programming topics.

Rustem Feyzkhanov
Rustem Feyzkhanov is a machine learning engineer at Instrumental, where he work on analytical models for the manufacturing industry, and AWS Machine Learning Hero. Rustem is passionate about serverless infrastructure (and AI deployments on it) and is the author of the course and book "Serverless Deep Learning with TensorFlow and AWS Lambda" and "Practical Deep Learning on the Cloud". Also he is a main contributor to open source repository for serverless packages https://github.com/ryfeus/lambda-packs.

Robert J Munro
Robert Munro is an expert in combining Human and Machine Intelligence, working with Machine Learning approaches to Text, Speech, Image and Video Processing. Robert has founded several AI companies, building some of the top teams in Artificial Intelligence. He has worked in many diverse environments, from Sierra Leone, Haiti and the Amazon, to London, Sydney and Silicon Valley, in organizations ranging from startups to the United Nations.

Francesco Mosconi
CEO & Chief Data Scientist at Catalit Data Science. Author of the Zero to Deep Learning book and video course. I work at the cutting edge of machine and deep learning training.
Data and Government
This panel will discuss how they are using open data to promote government transparency and accountability to solve important issues facing the public.
Moderator

Jagjit Dhaliwal
Jagjit comes to the County of Los Angeles with 17+ years of diversified IT consulting experience across multiple industry domains including Media & Entertainment (Studio, Education & Gaming), Telecom, Banking, Insurance and Manufacturing domains across different geographical locations globally. His main focus has been on IT transformation, operations efficiencies, enterprise initiatives, application modernization, and the adaption of emerging technologies. He has a wealth of experience in supporting complex systems delivery in a global onsite/offshore operating environment and managing large diverse teams.
Panelists

Kevin Gray
Kevin Gray is the Chief Information Officer (CIO) for the City of Burbank California. His vision and leadership drives the City’s Digital Government Initiatives, ensuring effective and efficient utilization of digital technology to improve city services, create new efficiencies, enhance public safety, promote and enhance economic development, improve transportation and mobility, improve sustainability and enhance the quality of life for the City’s residents, day-time population and visitors.

Jeanne Holm
Jeanne is the Chief Data Officer and Senior Technology Advisor to the Mayor at the City of Los Angeles, helping 4,000,000 people use data for innovation, equity, health and safety, and founded the Data Science Federation. She was formerly the Evangelist for open data for the White House under President Obama, the leader for Africa open data for the World Bank, and the Chief Knowledge Architect at NASA, and is a Distinguished Instructor at UCLA, a Trustee of Claremont Graduate University, a Fellow of the United Nations International Academy of Astronautics, on the Global Leadership Board for Time's Up, and an advisor to the UN.

Lea Eriksen
Lea Eriksen is the Director of Technology and Innovation and CIO of the City of Long Beach and is in charge of implementing the City’s technology vision, developing a staff of 173 FTE and managing a $57.2 million operating budget. With more than 20 years of experience working in local government, Lea’s background includes positions related to economic development, budget and finance, and technology. She has an MBA from Xavier University and graduated cum laude from Miami University.

Phillip Leclair
Phillip is an award winning CIO leading the City of Pasadena’s technology strategy, IT operations and customer service. His initiatives include improving service delivery through embracing effective use of technology; creating business models for delivering new services; promoting online development opportunities to increase self-service capabilities; and leading strategic initiatives to transform and innovate.
Money & Opportunities for Data Analysis Startups Post COVID
Many start-up faced a hard time in raising capital, many found new opportunities and pivoted. The opportunities ahead for anything data form analysis to tools and models and from AI to IoT are vast. Startups will looking at some interesting time ahead. The panel will focus on the post Covid dynamics of money, planning, execution and exit.
Moderator

Sid Mohasseb
The Entrepreneur Philosopher, is a Serial Entrepreneur, Angel Investor, University Professor, Innovator and Business Thought Leader. Sid has built and exited multiple global companies, invested in various start-ups, advised many of the fortune 500 executives, and has served as the national innovation leader for a conglomerate. Sid is a best selling author and teaches strategy and analytics at both USC's Marshall Business School and Viterbi Engineering school.
Panelists

John Harbison
John Harbison is Chairman Emeritus of Tech Coast Angels where he has led 14 deals, invested in over 60 startups, and serves on multiple Boards including the Angel Capital Association. He is also an active investor in public companies, and has realized returns from 100x – 1100x in five companies (Microsoft, Apple, Abbott Labs, Nucor and McGraw-Hill). Previously he co-founded Next Autoworks (a disruptive new American car company backed by Kleiner Perkins and Google Ventures), served as CEO of network security software SilentRunner Inc. (which was acquired by Computer Associates) and launched Valeo Raytheon Systems (the first blindspot radar for cars that achieved $700 million in annual revenue within eight years).

Nader Fathi
Nader Fathi is a serial entrepreneur and veteran of the Big Data and IoT industry. He is currently the CEO of Kiana Analytics, recently included in Gartner’s ”CIO Guide: How Location Services Can Help Mitigate COVID-19 Spread
Diversity in Data Organizations: Building a Representative Workforce and Why it Matters
This panel discussion will bring together experts in the field of diversity in data and discuss practical solutions which can help every organization close the gap. Fairness in itself should be reason enough to embed diversity in our data science teams and processes, but there are important practical considerations as well. This isn’t just a matter of fairness. Study after study has shown the positive impact of workplace diversity on everything from employee satisfaction and engagement to productivity and profitability.
Moderator

Rebecca Friedman
Rebecca is a founder, connector, and a self proclaimed gov geek and public sector enthusiast. She is driven to improve the business of government technology through innovation, enhanced communication and collaboration. She has 15 years of experience including consulting at a leading professional services firm, managing gov tech education events and strategic workshop delivery, and project management and execution.
Panelists

Nicholas Haystings
Tinkerer, maker, and all around gearhead. Sacramento native and proud CSUS alumni with a BS in Mechanical Engineering, Nicholas Haystings is the co-founder and executive director of Square Root Academy, an organization that provides STEM-based education and experiences to underrepresented groups, all at no cost to the participants. The program works with several local school district to provide after-school programming for fifth- through 12-graders, while also sponsoring STEM-focused community events. The Sacramento Business Journal named Haystings to its 2019 “40 Under 40” list, which recognizes young professionals in the Sacramento region who “excel in their workplaces and in their communities.”

Lindsay Poirier
Lindsay Poirier is a cultural anthropologist and recent PhD in Science and Technology Studies (STS) at Rensselaer Polytechnic Institute. Her research examines digital expertise, data cultures, and the theorization of digital infrastructure. More specifically, Poirier studies the design of “semiotic infrastructures” – or digital infrastructures that encode data’s syntax, semantics, and relationships to other data. She examines how the designers of semiotic infrastructure learn to bring diverse language ideologies to their work and how such language ideologies implicate how knowledge gets ordered in information systems. She has conducted historical research on approaches to digital knowledge representation in the artificial intelligence community and has conducted fieldwork within both the Semantic Web community and a community of practitioners building data standards for the human services. Poirier is the lead platform architect for the Platform for Experimental Collaborative Ethnography (PECE) – an open source digital humanities platform, which now supports several international research projects, including The Asthma Files and the Disaster STS Network. She is also a co-chair for the Empirical Humanities Metadata working group within the Research Data Alliance (RDA). Her most recent publications include “Devious Design: Digital Infrastructure Challenges in Experimental Ethnography,” published in the journal Design Issues and “A Turn for the Scruffy: An Ethnographic Study of Semantic Web Architecture,” published in the WebSci’17 Conference Proceedings.

Samta Kapoor
Samta Kapoor is a Senior Manager at Accenture with over 10 years experience leading large transformations, helping clients drive innovation and optimizing business processes. She earned an MBA from Northwestern’s Kellogg School of Management, has a Masters degree in Engineering Management from Duke University, and is an Electronics and Telecommunications engineer. At Accenture Samta focuses on growing the Financial Services and the Resources business for Applied Intelligence on the West coast. She is a part of the high value consulting team. She enjoys using her technical and business skills to help clients achieve their strategic goals by “Thinking in the New.” Working in Chile and Argentina has given her global exposure and a beginner level proficiency in Spanish. Specialties: Business Skills: Retail Banking,Value Targeting,Customer Analytics,Marketing Analytics Data and Technology Strategy, Business Strategy, Account Management (Mining and Hunting).

Vince Vu
Throughout his career, Vince has been at his most passionate and creative in roles where he lead efforts to operationalize visionary thinking. His strength is in taking big ideas and building road maps to get us there - especially by evangelizing, simplifying, and democratizing data. With an extensive background in data analysis, he has worked proudly to lift the “fog of war” over statistics and demystify number-crunching. As a recovering analyst, he is unapologetic in his belief that the most successful organizations lead from the heart, rather than the head. Vince currently helps public sector clients design, build, and strategize experience management programs at Qualtrics where his team helps government and education harness the most relevant data to improve outcomes for their constituents. Prior to joining Qualtrics, he led a feedback and analytics group at King County, WA, that managed employee, customer, and resident insights. Vince holds a master’s degree in Public Policy with concentrations in Public and Nonprofit Leadership and Management and Urban and Regional Affairs from the University of Minnesota’s Humphrey School of Public Affairs. He is also proud UT Longhorn, having received his dual bachelor’s degrees from the University of Texas in Austin, TX. Hook 'em!
Tutorials / 2020
Introduction to Kubernetes

Rob Richardson
Rob Richardson is a software craftsman building web properties in ASP.NET and Node, React and Vue. He’s a Microsoft MVP, published author, frequent speaker at conferences, user groups, and community events, and a diligent teacher and student of high quality software development. You can find this and other talks on https://robrich.org/presentations.
Kubernetes hands-on (Workshop)
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Kubernetes is how you run Docker in production. Bring your laptop with Docker for Windows or Docker for Mac edge version installed. We’ll walk through getting a K8s cluster fired up on Docker-Desktop, minikube, and on Azure. You’ll be hosting Docker containers in development and production in no time. We’ll dig deep into:
- A quick tour through Docker concepts
- The components of a Kubernetes cluster
- Pods, services, deployments, and replicas
- Ways to scale and expose/isolate your containers
- Public and private container registries
- Stateful containers
- Promoting from development to production
- Azure Container Service (AKS)
- Best practices for building at cloud scale
- Tips & Tricks for leveraging Docker and Kubernetes
- When not to use Kubernetes
We’ll look at the commands and ecosystem around building infrastructure as code, local and cloud clusters, and best practices with containers. Come see why devs and ops love Kubernetes.
Requirements
Please either have a laptop with
- Windows 10 Pro or better with all the updates installed (incl. 2004), access to the BIOS, and Admin password
or
- Mac 2010 “El Capitan” or better machine with all the updates installed
- Please come with an up-to-date version of Docker Desktop installed. See here for detailed instructions if necessary.
- In Linux mode, please pull these containers:
- docker pull node:alpine
- docker pull mcr.microsoft.com/dotnet/core/sdk:3.1-alpine
- docker pull mcr.microsoft.com/dotnet/core/aspnet:3.1-alpine
Tutor
Introduction to Data Science
Data Science tutorial is designed for people who are new to Data Science. This is beginner level session so no prior coding or technical knowledge is required. Just bring your laptop with WiFi capability. The session starts with a review of what is data science, the amount of data we generate and how companies are using that data to get insight. We will pick a business use case, define the data science process, followed by hands-on lab using python and Jupyter notebook. During the hands-on portion we will work with pandas, numpy, matplotlib and sklearn modules and use a machine learning algorithm to approach the business use case.

Zia Khan
Zia is the lead data scientist with theDevMasters, a California based data science consulting and training company. Zia holds a Masters degree in Computer Science with an MBA combined with over 20 years of professional work experience. Zia’s consulting portfolio includes healthcare companies, manufacturers and Start-ups. He is also the lead instructor for the data science bootcamp offered by theDevMasters. Prior to joining theDevMasters Zia worked with Bell Canada as a Solution Specialist for Data Centre and cloud computing technologies. Zia is passionate about driving information from data.
Introduction to Data Engineering
In this tutorial, we’ll introduce the basics of data engineering including: batch versus real time processes, structured versus unstructured data, and commitments/SLAs. Attendees will build their very own data pipelines using Python and Spark.

Abraham Elmahrek
Abe is the founder and CEO of Padfever, a rent transparency company. Previously, he was a data engineering consultant who worked with start ups in the San Francisco Bay Area. He found his footing in data engineering at Cloudera where he was part of the team that modernized Hue. He also contributed to several Hadoop ecosystem components including Hadoop itself.
Sessions / 2020
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Speakers / 2020
About the Conference / What You Need To Know
Data Con LA was awarded the prestigious Certificate of Appreciation by the City of LA for our community work.
Data Con LA is the largest, of its kind, data conference in Southern California. Spearheaded by Subash D’Souza and organized and supported by a community of volunteers, sponsors and speakers, Data Con LA features the most vibrant gathering of data and technology enthusiasts in Los Angeles.
In response to the COVID-19 pandemic, DCLA 2020 is going virtual. Join us on the 23rd, 24th and 25th of October to be part of the SoCal Data Community.
Data Con LA began as Big Data Day LA in 2013, with just over 250 attendees. We have since grown to over 550 attendees in 2014, 950+ attendees in 2015, 1200+ attendees in 2016, and 1550+ attendees in 2017. In 2018, we re-branded ourselves from Big Data Day LA to Data Con LA with over 1800 attendees and over 2000 in 2019. In 2020 we expect over 2000 attendees as well.
Our 2020 session tracks will include:
- Data Engineering
- AI/ ML/ Data Science
- Emerging Tech
- BI/ Reporting/ Use Cases
- Data Infrastructure & Security
- Data4Good
Attendees / See Who Will Be There
/ Data Scientists | |
/ Software Developers | |
/ System Architects | |
/ Head Researchers | |
/ Business Analysts |
/ Data Engineers | |
/ Technical Leads | |
/ CEOs, CTOs, CIO, etc. | |
/ IT Managers | |
/ Business Strategists |
/ Data Analysts | |
/ Researchers | |
/ Head Data Scientists | |
/ Entrepreneurs | |
/ Consultants |
Organizers / 2020 Organizers

Subash D’Souza
Founder at Data Con LA
Organizers / 2020 Committee Leaders

Arti Annaswamy
Senior Manager, Reporting Solutions & Data Operations at WB

Darshana Daga
MSBA Program Ambassador at UC Irvine

Dimas Soeprapto
Partner at Data Con LA

Germain Louie
Sr. Private Equity Alliances Manager at Sage Intacct

John Kim
Watchmaker's Apprentice | E-Commerce

Kaloyan Todorov
Partner at Data Con LA

Marc Waddell
Marketing Peofessional

Rich Ung
Data Scientist at Disney Media & Entertainment Distribution

Ruben Barrios
Information Security Student at Red River College

Sanjeev Sehgal
SVP, Sales at Satwic

Subash D’Souza
Founder at Data Con LA
Volunteers / 2020 Volunteers

Aaron Artea
Systems Engineer at VPLS

Anaies Abnoos
Data Scientist at Kaiser Permanente

Andy Nakamura
Senior SQL DBA at Keck Medical Center of USC

Annie Flippo
Director of Data Science at inMarket

Ayman Sulaiman
Data Science Intern at Auby

Azadeh Tehranian, Ph.D.
User Experience Researcher at Curiosity Tank

Bob Newstadt
Director of Business Intelligence at HopSkipDrive

Byron Martinez
Enterprise Account Manager at Vista Entertainment Solutions

Calvin Thanh
Full Stack Developer

Cassidy Liu
Senior Business Intelligence Analyst at Green Dot Corporation

Charla Myers
UX Content Strategist / Writer

Courtney Fowler
Supply Chain Operations Manager at Flexport

Don Malloy
President at OATH

Edmond Choi
Volunteer at Data Con LA

Eli Selkin
Co-Founder & CTO at upful.ai

Emily Schoof
Data Scientist at Healthy Together

Eric Mena
Inventory Modeling Technical Specialist at The Boeing Company

Hestia Sartika
Software Developer & UI/UX Researcher at Blue Marble Space Institute of Science

Jenn Chow
Visual Designer

Jitesh Maddhali
SVP, Senior Technology Manager at Bank of America

Kim LeBouton
Independent SAS® Consultant at KJL Computing

Laurence Giglio
Lead QA Engineer at NexTravel

Lu Cheng
Undergraduate Data Researcher at UCLA

Michelle Iafigliola
Director of Partnerships & Field Operations at Helping Hands Community

Mihir Jain
Graduate Student at UC Riverside

Mrinmoy Das
Staff Data Engineer at Warner Bros Discovery

Murali Kadambala
Sr. Director, Finance(Technology) at LA Metro

Nancy Melucci
Lecturer at CSUDH

Naveena Parasa
Data Engineer at Bank Of America

Neil Yonzon
Web Experience Developer at Betterment

Nilesh Tiloda
Independent Consultant

Noel Graham
Research Analyst at XPRIZE

Oszie Tarula
Digital Media Director at UCLA

Priya Chauhan
Senior Director of External Relations at First Source

Rajeev Mehrotra
Director of Data Engineering at LegalZoom

Randall Chalawsky
CRO at Great Land

Reza Rahman
Volunteer at Data Con LA

Ritesh Dedhia
Director, Data and Analytics at Warner Bros

Robbie Smith
Reliability Business Tools Supervisor (-Lead Business Data Analyst) at Thales Avionics

Robert Abramowitz
Senior Analyst, Strategy & Operations at Weedmaps

Sachin Nahar
Engineer at REVOLVE

Shannon Callan
Data Consultant at Guggenheim Partners

Stephen Kwok
Staff Scientist, Bioinformatics at Singular Genomics

Takao Yamamoto
Technical Project Manager at AXS

Tala Ghazaleh
Emerging Technology Consultant at Cortes

Thomas Kung
Senior Accounting Analyst at Farmers Insurance