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

10am - 5pm ET

2 Days | 16 Talks | 6 Workshops | FREE

Register by June 27th for a chance to win a free spot in our Live Online Beginner Python & Math for Data Science course!

See sweepstakes official rules here.

Metis Demystifying Data Science Conference Sweepstakes Official Rules

NO PURCHASE NECESSARY TO ENTER OR WIN. A PURCHASE DOES NOT INCREASE YOUR CHANCES OF WINNING. VOID WHERE PROHIBITED.  Metis Demystifying Data Science Conference Sweepstakes ("Promotion") begins on 5/13/19 at 12:00:00 AM Eastern Time ("ET") and ends at 11:59:59PM ET on 6/27/18 (the "Promotion Period").


ELIGIBILITY: The Promotion is open only to legal residents of the United States and the District of Columbia (excluding Rhode Island) who are 18 years of age or older at the time of Promotion. Employees, officers and directors of Kaplan, Inc. (the "Sponsor"), and Sponsor's parent, affiliates, subsidiaries, and advertising, contest, fulfillment and marketing agencies (all of such entities (including, but not limited to, the Sponsor) are collectively referred to herein as the, "Promotion Parties"), their immediate families (parent, child, sibling and spouse and their respective spouses, regardless of where they reside) and persons living in the same households as such individuals (whether related or not) are not eligible to participate in the Promotion. By participating, you agree to these Official Rules and to the decisions of the Sponsor, which are final and binding in all respects. Void where prohibited by law, rule or regulation. All applicable federal, state and local laws and regulations apply.

HOW TO ENTER THE SWEEPSTAKES: To enter the Promotion, you can register for the Demystifying Data Science Conference at http://www.thisismetis.com/demystify by 11:59:59 PM ET of 6/27/18 during the Promotion Period. The Sponsor reserves the right to disqualify any entry from the Promotion for any reason.

PRIZES, DRAWINGS & ODDS OF WINNING: A total of three (3) prizes will be selected in electronic, randomized drawings. The drawing for the Prize (described below) will be held on 6/28/19 following the Promotion Period. The drawing will be from all eligible entries received during the Promotion Period. The drawing will be conducted by Sponsor using RandomPicker, whose decisions are final and binding in all matters relating to this Promotion. Odds of winning depend on the number of eligible entries received.

PRIZES: Three (3) Prizes will be awarded for the  Promotion. Each Prize will consist of the following:

  • One enrollment  in an upcoming Metis Beginner Python & Math for Data Science Live Online Course.  Winner must select one course start date from those scheduled within one calendar year from  the Prize winner was notified of the award.

The Approximate Retail Value ("ARV") of  each Prize is $750 US

* Any applicable taxes on the Prize are the sole responsibility of the winner.

WINNER NOTIFICATION: Potential winner will receive Prize notification and prize claim information via email within seventy-two (72) hours after the drawing, or as soon thereafter as reasonably practicable. Sponsor is not responsible for any change in entrant's telephone number, mailing address, and/or email. Winner will have seven (7) calendar days from time of receipt of winning notification to confirm that the notification has been received in order to claim his/her Prize. A potential winner is subject to verification, including verification of age. If such potential winner cannot be contacted within a reasonable time period, if the potential winner is ineligible, if any notification is returned undeliverable, or if the potential winner otherwise fails to fully comply with these Official Rules, he/she will forfeit that Prize and  an alternate winner may be selected from all remaining entries.

GENERAL PRIZE CONDITIONS: Prize will only be awarded by Sponsor upon potential winner's verification of eligibility (if requested by Sponsor), and compliance with these Official Rules and final approval by Sponsor. No prize substitution, cash equivalent of Prize, transfer or assignment of Prize is permitted, except by Sponsor which reserves the right to substitute a Prize with one of comparable or greater value, in its sole discretion. Prize is awarded "as is" with no warranty or guarantee, either express or implied. All Prize details are at Sponsor's sole discretion. Any and all warranties and/or guarantees on a Prize (if any) are subject to the respective manufacturers' terms therefore, and winner agrees to look solely to such manufacturers for any such warranty and/or guarantee. An unclaimed Prize will not be awarded. All federal, state, local, and other taxes on a Prize and any other costs and expenses associated with Prize acceptance and use not specified herein as being provided, are the sole responsibility of the applicable winner. A 1099 tax form will be issued where required. Notwithstanding anything herein, a potential Prize winner may be required to complete and return an Affidavit of Eligibility and Liability/Publicity Release form within five (5) calendar days of attempted delivery of same. Non-compliance within this time period or return of any Prize/Prize notification as undeliverable may result in disqualification. All federal, state, municipal, provincial and local laws and regulations apply.

PUBLICITY RELEASE: Except where prohibited or restricted by law and notwithstanding the fact that the winner may be required to sign a separate Affidavit of Eligibility and Liability/Publicity Release, winner's acceptance of Prize constitutes winner's agreement and consent for Sponsor to use and/or publish the winner's full name, city and state of residence, Promotion entry, and/or statements made by winner regarding the Promotion or Sponsor, winner's voice, photographs and other likeness, worldwide and in perpetuity for any and all purposes, including, but not limited to, advertising, trade and/or promotion on behalf of Sponsor, in any and all forms of media, now known or hereafter devised, including, but not limited to, print, TV, radio, electronic, cable or World Wide Web, without further limitation, restriction, compensation, notice, review or approval.

MISCELLANEOUS: Entrants who do not follow all of the instructions, provide the required information in their entry form or the like, or abide by these Official Rules or other instructions of Sponsor may be disqualified. All Promotion entries become the property of Sponsor and will not be acknowledged or returned. Online entries will be considered to be entered by the authorized account holder of the e-mail address submitted at time of entry and he/she must comply with these Official Rules. The authorized account holder is deemed as the natural person who is assigned to an e-mail address by an Internet access provider, online service provider or other organization that is responsible for assigning e-mail addresses for the domain associated with the submitted e-mail address.

PRIVACY: Personal information collected by Sponsor will be used for administration of the Promotion and awarding of a Prize. In addition, by entering, entrants and/or winner agree to Sponsor's use of entrant's/winner's personal information as described in its Privacy Policy athttp://www.thisismetis.com/privacy-policy. Please refer to Sponsor's privacy policy for important information regarding the collection, use and disclosure of personal information by Sponsor.


DISCLAIMER: Promotion Parties are not responsible for printing or typographical errors in these Official Rules or in any Promotion-related materials. Sponsor reserves the right, in its sole discretion, to disqualify any individual that tampers with the entry process. Sponsor also reserves the right to terminate, suspend, cancel or modify the Promotion and award the Prize for the Promotion from among all eligible, non-suspect entries received (i) as of the date of termination or modification, as applicable, using the judging procedure outlined above and (ii) in a random drawing if for any reason this Promotion is not capable of running as planned due to any reason, including infection by computer virus, bugs, tampering, fraud, unauthorized intervention, technical failures or other causes that may corrupt or impair the integrity, fairness or proper play of the Promotion. Promotion Parties are not responsible or liable for any events which may cause errors and/or the Promotion to be stopped, including but not limited to any error, omission, interruption, deletion, defect, delay in operation or transmission, communications line failure, theft or destruction or unauthorized access to, or alteration of, entries, nor are they responsible for any problems or technical malfunction of any telephone, network or telephone lines, computer online systems, servers, or cable, satellite, or Internet Service Providers, computer equipment, mobile equipment, software or any other failure of any email or entry to be received by Sponsor on account of technical problems, human error or traffic congestion on the Internet or at any web site, or any combination thereof, including any injury or damage to entrant's or any other person's computer or mobile device relating to or resulting from participation in this Promotion or downloading any materials in this Promotion. Promotion Parties are not responsible for computer, mobile, mechanical, technical, electronic, network or other errors or problems, including any errors or problems that may occur in connection with the administration of the Promotion, the processing of entries, or in any other Promotion-related materials. The Promotion Parties may stop you from participating in this Promotion if you violate Official Rules or act, in Sponsor's sole discretion: (a) in a manner Sponsor determines to be not fair; (b) with an intent to annoy, threaten or harass any other entrant, winner or the Sponsor; or (c) in any other disruptive manner. Should more prizes be awarded through a computer, hardware, or software malfunction, error or failure, or for any other reason, in any prize category, than are stated for that category in the Official Rules, Sponsor reserves the right to award only the number of prizes stated in the Official Rules for that category. CAUTION: ANY ACT OR ATTEMPT BY AN ENTRANT TO DELIBERATELY DAMAGE ANY WEB SITE OR UNDERMINE THE LEGITIMATE OPERATION OF THIS PROMOTION IS A VIOLATION OF CRIMINAL AND CIVIL LAWS. SHOULD SUCH AN ATTEMPT BE MADE, PROMOTION PARTIES RESERVE THE RIGHT TO SEEK DAMAGES AND OTHER REMEDIES (INCLUDING ATTORNEYS' FEES) FROM ANY SUCH INDIVIDUAL(S) TO THE FULLEST EXTENT PERMITTED BY LAW.

WINNER LIST: Entrants are responsible for complying with these Official Rules. To receive the winner list for this  Promotion, send a self-addressed stamped envelope to: Metis, 79 Madison Avenue, New York, NY 10016. Please reference the dates of the Promotion Period and Prize with your request.

SPONSOR: Kaplan, Inc.

Early Registration Deadline:

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 job 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

Hilary Mason

General Manager

Hilary Mason is the General Manager for 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.

John C. Havens

Executive Director
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems

John C. Havens is Executive Director of The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems that has two primary outputs – the creation and iteration of a body of work known as Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems and the recommendation of ideas for Standards Projects focused on prioritizing ethical considerations in A/IS.  Currently there are fourteen approved Standards Working Groups in the IEEE P7000™ series.

John is also the Executive Director of The Council on Extended Intelligence (CXI), a program created by The IEEE Standards Association and The MIT Media lab to proliferate the ideals of responsible participant design, data agency and metrics of economic prosperity prioritizing people and the planet over profit and productivity.

Previously, John was an EVP of Social Media at PR Firm, Porter Novelli and a professional actor for over 15 years. John has written for Mashable and The Guardian and is author of the books, Heartificial Intelligence: Embracing Our Humanity To Maximize Machines and Hacking Happiness: Why Your Personal Data Counts and How Tracking it Can Change the World.

For more information, visit John’s site or follow him @johnchavens.

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

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, PhD

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

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

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.

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 Machine Learning Engineer

Michelle Gill is a Senior Machine Learning Engineer at BenevolentAI, an AI healthcare company with capabilities from early discovery to late stage clinical development. At BenevolentAI, she utilizes data science and machine learning to facilitate both the target identification and lead optimization stages of drug discovery. 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. Michelle's scientific and machine learning work has been published in peer reviewed journals and covered by the press.

Workshop Instructors

Kerstin Frailey

Senior Data Scientist, Corporate Training

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 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

Senior Data Scientist, Bootcamp

Sophie is a Senior Data Scientist at Metis where she is a bootcamp instructor and leads 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

Senior Data Scientist, Corporate Training

Damien has experience bringing esoteric subjects down to Earth. Currently, he is a Senior Data Scientist at Metis he develops and delivers 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.


Detailed Schedule Coming Soon. (All times in EST)

NEW! Workshops

Each year we strive to improve based on attendee feedback. We heard your request, so this year we're offering more in-depth sessions in a brand new workshop format. (All times in EST.)

Register for #DemystifyDS

Select the date(s) you'd like to attend below:

Day 1: July 30

For Aspiring Data Scientists

Day 2: July 31

For Business Leaders, Managers & Practitioners

Day 1 & 2: July 30-31

For Everyone!

Yes, I would like to receive more info about bootcamp prep courses.

Yes, I would like a free consultation to assess my team's data science training needs with an expert from Metis.

Sponsorship & Press Inquiries

Email us to learn about 2019 sponsorship opportunities or make press inquiries:

[email protected]