3rd Annual

Demystifying Data Science Conference

Demystifying Data Science Conference 2019

A FREE Live Online Conference for Aspiring Data Scientists, Data-Focused Business Leaders and Practitioners

July 30 - July 31, 2019

Demystifying Data Science is a wrap!

Sign up to receive access to recordings of all 22 talks and workshops.

Are You Data Curious?

During 2 action-packed days, experience 16 interactive data science talks from industry-leading speakers and 6 in-depth workshops led by experts on the Metis data science and career support teams.



For Aspiring Data Scientists


8 speakers will demystify data science and discuss the training, tools, and career path to one of the most in-demand jobs in the world.


3 Metis experts will lead in-depth workshops on introductory level technical topics and career-acceleration guidance.



For Business Leaders, Managers & Practitioners


8 speakers will provide best practices to successfully integrate data science into an organization and demystify its business impact.


3 Metis experts will lead in-depth workshops on business-oriented and technical topics with practical applications.

The #DemystifyDS Experience

Demystifying Data Science is designed to be equal parts informative and interactive. All registrants will have access to the presentation recordings after the conference - but you have to attend live for the full experience!


Talks and workshops are all presented live, followed by Q&A.


Real-time chat, with opportunities to ask questions, answer polls, and share socially.


Receive post-conference access to recordings of all presentations.

Last year over 18,000 people registered from more than 142 countries.

Here’s what some of them had to say:

“Interesting, insightful, and each speaker taught me something highly valuable.”

“#DemystifyingDS was better than I expected this year! It's my second year attending & I'm planning to attend next year!”

“One of the greatest data science events I've attended so far.”


Interactive Talk Presenters

Tarry Singh

Co-founder, CEO and AI Neuroscience Researcher

Tarry Singh is CEO, Co-founder and AI researcher of deepkapha.ai, a leading AI in The Netherlands. He has over 20 years of experience working with CxOs of global companies to transform into a data-driven, AI companies of the future. He speaks regularly at global AI leadership summits worldwide and conducts AI workshops with his experienced team of AI researchers who have PhD in biomedicine, bioinformatics, applied mathematics and robotics. He occasionally co-supervises PhD projects related to AI and also teaches regularly at UTD Dallas, Texas, Utrecht University of Applied Sciences, Netherlands, University of Catalunya, Barcelona to name a few.

Tarry is thought leader and he writes regularly for Forbes magazine about "impact of AI on Business and Society”. He was also chosen by LinkedIn as also Linkedin’s Top Voices for “Data Science and Analytics”. He is author of various publications and has been interviewed regularly by leading newspaper such as Al Jazeera / Associated Press and also specific industry vertical magazines worldwide. He is a seasoned entrepreneur and startup coach and he regularly mentors startups at Hult Prize Foundation and AI Med.

Hilary Mason

General Manager of Machine Learning

Hilary Mason is the General Manager of Machine Learning at Cloudera.  Previously, she founded Fast Forward Labs, an applied machine learning research and advisory company, which was acquired by Cloudera in 2017.  Hilary is the Data Scientist in Residence at Accel Partners, and is on the board of the Anita Borg Institute. Formerly, she co-founded HackNY.org, a non-profit that helps engineering students find opportunities in New York's creative technical economy, served on Mayor Bloomberg's Technology Advisory Council, and was the Chief Scientist at Bitly.  Hilary can be reached on Twitter @hmason and on LinkedIn.

Natalie Evans Harris

Co-Founder and Head of Strategic Initiatives
BrightHive, Inc

Natalie is a sought-after thought leader on the ethical and responsible use of data after nearly 20 years advancing the public sector’s strategic use of data, including a 16 year career at the National Security Agency, and 18 months with Obama Administration. Known for working with a broad network of academic institutions, data science organization, application developers, and foundations to advance the responsible use of data standards, APIs, and ethical algorithms to directly benefit people, Natalie co-founded and currently serves as Head of Strategic Initiatives of BrightHive, a data trust platform delivering a suite of smart data collection, integration, and governance products to social services providers for improved access to and usability of social sector data. She founded the Community-driven Principles for Ethical Data Sharing (CPEDS) community of practice with over 1200 active members focused on strengthening ethical practices in the data science community through crowd- sourcing of a Data Science Code of Ethics.  Now the Global Data Ethics Project (GDEP) she serves as a Strategic Advisor in advancing the adoption of tools, techniques, and practices developed by the community. As a Senior Policy Advisor to the US Chief Technology Officer in the Obama Administration, she founded The Data Cabinet - a federal data science community of practice with over 200 active members across more than 40 federal agencies.

Kunal Jain

Founder & CEO
Analytics Vidhya

Kunal Jain is the Founder & CEO of Analytics Vidhya. Analytics Vidhya (AV) aims to build next generation data science ecosystem across the globe. They have helped millions of people realize their data science dreams through hackathons, competitions, trainings & conferences and help companies find the right data science talent.

Before starting Analytics Vidhya, Kunal completed his graduation & post-graduation from IIT Bombay and worked with companies like Capital One & Aviva Life Insurance across different geographies and responsibilities. Kunal can be reached on LinkedIn.

Atif Kureishy

VP – Global Emerging Practices | AI & Deep Learning

Atif Kureishy is a VP – Global Emerging Practices | AI & Deep Learning at Teradata, a business outcome-led global analytics consultancy. Based in San Diego, Atif specializes in enabling clients across all major industry verticals, through strategic partnerships to deliver complex analytical solutions built on machine and deep learning. His teams are trusted advisors to the world’s most innovative companies to develop next-generation capabilities for strategic data-driven outcomes in areas of artificial intelligence, deep learning & data science.

Atif has more than 18 years in strategic and technology consulting working with senior executive clients. During this time, he has both written extensively and advised organizations on numerous topics; ranging from improving the digital customer experience, multi-national data analytics programs for smarter cities, cyber network defense for critical infrastructure protection, financial crime analytics for tracking illicit funds flow, and the use of smart data to enable analytic-driven value generation for energy & natural resource operational efficiencies.

Jacqueline Nolis

Principal Data Scientist
Nolis, LLC

Dr. Jacqueline Nolis has over a decade of experience in the data science industry, working with companies ranging from DSW and Union bank to Microsoft and Airbnb. Her academic research covered optimization under uncertainty with a specialization in electric vehicle routing, which yielded a PhD in Industrial Engineering from ASU - and provided a solid basis for artificial intelligence, data science, and machine learning. Previously, Jacqueline was the Director of Insights and Analytics at Lenati and a Lead of Advanced Analytics at Promontory.

Safiya Noble, Ph.D.

Associate Professor

Dr. Safiya Umoja Noble is an Associate Professor at UCLA in the Departments of Information Studies and African American Studies, and a visiting faculty member to the University of Southern California’s Annenberg School of Communication. She is also the author of a best-selling book on racist and sexist algorithmic bias in commercial search engines, entitled Algorithms of Oppression: How Search Engines Reinforce Racism (NYU Press). The recipient of several awards, her academic research focuses on the design of digital media platforms on the internet and their impact on society. Her work is both sociological and interdisciplinary, marking the ways that digital media impacts and intersects with issues of race, gender, culture, and technology. Dr. Noble holds a Ph.D. and M.S. in Library & Information Science from the University of Illinois at Urbana-Champaign, and a B.A. in Sociology from California State University, Fresno where she was recently awarded the Distinguished Alumni Award for 2018.

Tom Schenk Jr.

Director of Analytics

Tom Schenk Jr. is a researcher and author on applying technology, data, and analytics to make better decisions. He’s currently the director of analytics at KPMG where he leads the smart city and government analytics practice. He’s authored several publications, including a book on data visualization, book chapters on education research, and academic articles on a variety of subjects. Tom has previously served as Chief Data Officer for the City of Chicago, led education research for the State of Iowa, and has held a variety of positions within academia. Tom is the co-founder of the Civic Analytics Network at Harvard University’s Ash Center for Democratic Governance and Innovation. He is also the current co-organizer of the Chicago Data Visualization Group. His work has been featured in The Economist and Wall Street Journal while he’s been featured in television programs on PBS NewsHour and National Geographic Channel.

Gabriela de Queiroz

Sr Developer Advocate/Sr. Engineering & Data Science Manager

Gabriela de Queiroz is a Sr. Developer Advocate/Sr. Engineering & Data Science Manager at IBM where she leads the CODAIT Machine Learning Team. She works in different open source projects and is actively involved with several organizations to foster an inclusive community. She is the founder of R-Ladies, a worldwide organization for promoting diversity in the R community with more than 150 chapters in 45+ countries. She has worked in several startups where she built teams, developed statistical models and employed a variety of techniques to derive insights and drive data-centric decisions. She likes to mentor and shares her knowledge through mentorship programs, tutorials and talks.

Adrian Cartier, Ph.D.

Director of Data Science

Adrian Cartier is the Director of Data Science for Bayer. In this role, Adrian partners with business executives and IT strategy leads to enable a digital-driven mindset across the company. He serves as a member of Bayer Data Science Center of Excellence leadership team and is an Associate Fellow within the Science Fellows program, a distinct honor.

Previously, Adrian held a tenure-track position as a Mathematics professor in Alabama and has operated his own analytics consulting firm.  Adrian holds a doctorate degree in Mathematics from the University of Mississippi. where his research focused on the intersection between Topology, Group Theory, Category Theory, and Graph Theory.   

Adrian has served as co-chair for the St. Louis United Way giving campaign for the last 3 years. In his free time, he enjoys golfing, playing soccer, beer tasting, and watching the Ole Miss Rebels take the football field every fall.

Alberto Cairo

Knight Chair in Visual Journalism
University of Miami

Alberto Cairo began his career in journalism and visualization in 1997, and has been a head of infographics and multimedia at media organizations in Spain (El Mundo online) and Brazil (Editora Globo). He is now the Knight Chair in visual journalism at the University of Miami, and also director of visualization at UM's Center for Computational Science. He is also a freelancer, trainer, and consultant for organizations and institutions such as Google News Initiative and the Congressional Budget Office. He is the author of the books 'How Charts Lie: Getting Smarter about Visual Information' (W.W. Norton, to be published in October 2019), 'The Truthful Art: Data, Charts, and Maps for Communication (2016), and 'The Functional Art: an Introduction to Information Graphics and Visualization (2013). His website is www.albertocairo.com, his weblog is www.thefunctionalart.com, and his Twitter handle is @Alberto Cairo

Emily Robinson

Data Scientist

Emily works as a data scientist at DataCamp on their growth team, working with them to design, implement, and analyze experiments/ Previously, she was a data analyst at Etsy. She holds a Master’s degree in Management (specialization in Organizational Behavior) and a bachelor’s in Decision Sciences. Follow her on twitter at @robinson_es or on her blog, hookedondata.org, where she writes about A/B testing, career advice, and programming in R.

Kate Strachnyi

Data Visualization Specialist
Story by Data

Kate Strachnyi is the author of Journey to Data Scientist and The Disruptors: Data Science Leaders. She is also the founder and host of Humans of Data Science (HoDS) - a project that works on showing the human side of data science (housed on her Story by Data YouTube channel). Kate also manages the Datacated Weekly project on the Storybydata.com site.

Kate current works in the data visualization & reporting space. She previously served as an insight’s strategy manager and research analyst, where she was responsible for enabling the exchange of information in an efficient and timely manner. Prior to working with data, she focused on risk management, governance, and regulatory response solutions for financial services organizations.

E-mail: [email protected]

LinkedIn: https://www.linkedin.com/in/kate-strachnyi-data/

Twitter: @StoryByData

Blog: http://storybydata.com/

Usama Fayyad, Ph.D.

Open Insights

Usama was the first person to hold the Chief Data Officer title when Yahoo! acquired his startup in 2004. At Yahoo! Usama built the Strategic Data Solutions group and founded Yahoo! Research Labs where much of the early work on BigData made it to open source and led to Hadoop and other open source contributions.

Four years later he founded Open Insights, a technology and consulting firm which enables enterprises to get value out of their data assets. Usama is also Co-Founder & CTO at OODA Health, Inc., a VC-funded company aiming to liberate the healthcare system from administrative waste by leveraging AI/automation to create real-time/retail-like experience in payments in healthcare.

Usama has held leadership roles at Microsoft and founded the machine learning systems group at NASA’s Jet Propulsion Laboratory where his work on machine learning resulted in the top Excellence in Research award from Caltech, and a U.S. Government medal from NASA. He has also published over 100 technical articles on data mining, data science, AI/ML, and databases. He holds over 30 patents and is a Fellow of both the AAAI and the ACM.

Usama earned his Ph.D. in Engineering in AI/Machine Learning from the University of Michigan, Ann Arbor. He has edited two influential books on data mining/data science and served as editor-in-chief on two key industry journals. He also served on the boards/advisory boards of private and public companies. He is an active angel investor and advisor in many early-stage tech startups across the U.S., Europe and the Middle East.

Peter Guerra

North American Chief Data Scientist

Peter Guerra has over 15 years experience building analytics and data science businesses with innovative solutions. He is currently the North America Chief Data Scientist for Accenture leading the strategy and delivery for data science, machine learning engineering, and artificial intelligence for Fortune 500 clients solving client challenges in Pharmaceutical, Retail, Energy, Transportation, Financial, Products, and other sectors. He was the architect for numerous US Federal solutions to address healthcare, national defense, and homeland security missions. He has spearheaded strategic partnerships with Cloudera, Microsoft, Elastic, AWS, Google, and NVIDIA. In the past, he built one of the largest data science businesses and lead the next generation of innovation in machine intelligence in US Federal market. His technical expertise ranges from artificial intelligence/machine learning, large-scale distributed systems, cyber security, and data science. He has written thought pieces with O’Reilly and has had the privilege of speaking at many client and industry events, including NVIDIA’s GTC Conference, AWS Summit, Blackhat, Hadoop Summit, Strata+Hadoop, and more. He earned a BA in English and a BS in Computer and Information Science from the University of Maryland, an MBA from Loyola University, and is currently working on his PhD in Artificial Intelligence from UMBC.

Aubrey HB

Director of Advanced Analytics
Nationwide Building Society

Aubrey HB is the Director of Advanced Analytics for Nationwide Building Society.  Since graduating with a PhD in Pure Mathematics, she has focused her career on designing and delivering data solutions throughout a number of different industries.  Prior to joining Nationwide, Aubrey has worked with many types of data within a wide variety of contexts and technologies to deliver production systems that have advanced analytics techniques at their core.  She has developed Data Science solutions for AT&T, Scholastic, SiriusXM, and FAIR Health, so her relevant experience spans the Telecommunications, Publishing, Entertainment, Healthcare, and Financial Services industries.

Bryan Bumgardner

Senior Data Scientist

A background in digital journalism brought Bryan to the NYC Metis Data Science Bootcamp, where he graduated in 2016. Since then Bryan has transformed his career, focusing on high-powered, easily learned data science automation tools. His experience with management, data science, and emerging technologies are driving change in the analytics department at Digitas, a marketing agency in NYC. Using the skills he learned at Metis, Bryan consults with and trains 150+ analysts in seven offices as they learn to leverage new technology for statistical analysis, data processing, and data science. Outside of work he likes weightlifting, Thai food and the underground music scene in Brooklyn.

Michelle Gill

Senior Applied AI Researcher and Developer Relations, Healthcare

Michelle Gill is a Senior Applied AI Researcher and Developer Relations in Healthcare at NVIDIA, where she performs research and guides strategy at the intersection of pharmaceutical development and machine learning. Previously, she was a Senior Machine Learning Engineer at BenevolentAI. She holds a PhD in Molecular Biophysics and Biochemistry from Yale University and completed a postdoctoral research fellowship at Columbia University Medical School, where she developed and applied biophysical methods to study the function of cancer-associated enzymes. Michelle is also a graduate of the Metis Data Science Bootcamp in New York and a former Metis Senior Data Scientist and bootcamp instructor. Her scientific and machine learning work has been published in peer reviewed journals and covered by the press.

Workshop Instructors

Kerstin Frailey

Senior Data Scientist and Head of Corporate Training Executive Programs

Kerstin is passionate about bringing data science from the edge of business to the center of it.  She has data science experience in all three sectors: for-profit, non-profit, and government. Currently, she is a Senior Data Scientist and Head of Corporate Training Executive Programs at Metis where develops and delivers curriculum to accelerate data science learning for teams. As Director of Data Science, she founded the Guidestar data science team and brought machine learning to the largest nonprofit data warehouse.  At Postmates she used her broad data science toolkit to support marketing, growth, finance, and fleet team needs. As a University of Chicago Data Science for Social Good Fellow she helped uncover early signals for delays in education. She holds graduate degrees in statistics, mathematical statistics, and mathematical computer science from Cornell University and University of Illinois at Chicago.  As an undergraduate she studied psychology and anthropology at Yale University.

Check out more from Kerstin on LinkedIn.

Jonathan Balaban

Senior Data Scientist, Bootcamp

Jonathan Balaban is an instructor at Metis’s San Francisco bootcamp, but he has crossed the country with Metis as a previous instructor at the Seattle and Chicago campuses as well. He enjoys teaching the art of impact-focused, practical data science and helping students find amazing careers with top-tier companies like Apple, Tesla, and Amazon.

 As a data scientist, he has worked at McKinsey and Booz Allen Hamilton and consulted for numerous companies. He has led teams to design bespoke data science solutions that have driven revolutionary changes in client operations. Jonathan - sometimes successfully - leverages data science solutions in his personal life: on friends, racing, and training.

Check out more from Jonathan on LinkedIn and Medium.

Ashley Purdy

Career Advisor

Ashley is a passionate Career Advisor who is proud to be a founding member of the Metis Chicago team, having helped every student and graduate at the campus identifying what they want out of a career and helping them find the career they are looking for. 

With over 5 years of experience as an employment professional, she enjoys helping job seekers realize their full professional potentials and assisting them with finding their dream careers. She started her career as a technical recruiter, and most recently worked at DeVry University as a Career Advisor supporting the technical programs. Working in both a recruiting and advising capacity has given her a strong understanding of the recruitment process and what employers seek in a quality candidate, especially in the technical industry.  

Check out more from Ashley on LinkedIn and the Metis blog.

Sophie Searcy

Director of Bootcamp Curriculum

Sophie is the Director of Bootcamp Curriculum at Metis where she leads Metis' bootcamp curriculum development. Sophie works in deep learning and data science ethics. Through t4tech she helps provide free trans-centered classes in programming and data science. She holds masters degrees in Electrical and Computer Engineering and Psychology, and her writing has appeared in Information Week. Sophie is passionate about teaching, both in theory and in practice, and about making sure that data science is primarily a tool that is used to improve people's lives.

Check out more from Sophie on her LinkedIn and InformationWeek.

Damien Martin

Data Science Instructor

Damien has experience bringing esoteric subjects down to Earth. Currently, he is a Data Scientist at Stitch Fix focusing on Inventory Algorithms and a Parttime Data Science Instructor for the Corporate Training team at Metis. Previously, he was a Senior Data Scientist at Metis who helped develop and deliver curriculum to accelerate data science learning for teams. After completing a PhD in cosmology, he spent his time developing project-based learning in physics, math and computer science at small liberal arts colleges. He loves developing projects that are relevant and interesting, while still highlighting the important concepts. After leaving the classroom, Damien worked as a curriculum designer and data scientist for a small San Francisco recruiting startup for people looking for coding jobs. When he's not working on lectures, Damien can be found studying Wing Tsun, playing Go, or on a photo hike.

 Check out more from Damien on LinkedIn and the Metis blog.

Kimberly Fessel

Senior Data Scientist, Bootcamp

Kimberly Fessel is an instructor at Metis’s NYC bootcamp. She joins Metis from MRM//McCann, a leading digital advertising agency, where she focused on helping clients understand their customers by leveraging unstructured data with modern NLP techniques.  

She is passionate about data storytelling and the power of compelling data visualizations to challenge pre-conceived assumptions.  Kimberly's enthusiasm for teaching comes from her days as an academic. She holds a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute and completed a postdoctoral fellowship in math biology at the Ohio State University.

Check out more from Kimberly on LinkedIn and her blog.


(All times in EST)

Day 1: July 30

For Aspiring

Data Scientists

Day 2: July 31

For Business Leaders,

Managers & Practitioners

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