What we're about

Data Works MD consists of professionals, students, and enthusiasts living and working in the Maryland area that are interested in topics related to data science, data analytics, data products, software engineering, machine learning, and other data engineering topics.

Our monthly events feature presentations and discussions from local experts.

Our monthly newsletter features links to interesting articles, tutorials, and tools related to data science, analytics, and big data.

If you are interested in speaking at a future event, becoming a Data Works MD partner, or have any suggestions or comments, please email info@dataworksmd.org

Resources

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Main website: https://dataworksmd.org

Sign up for the new monthly newsletter at http://news.dataworksmd.org

Join us on Slack at http://slack.dataworksmd.org

Newsletter Archive: http://archive.dataworksmd.org

Event Videos: http://videos.dataworksmd.org

Twitter: http://twitter.dataworksmd.org

Facebook: http://facebook.dataworksmd.org

LinkedIn: http://linkedin.dataworksmd.org

Partners

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Erias Ventures - https://www.eriasventures.com

Varen Technologies - http://www.varentech.com/

ClearEdge - http://clearedgeit.com/

Microsoft - https://www.microsoft.com/

Upcoming events (3)

Online: Idiomatic Pandas

Online event

Doing data science is already hard. Doing it right is even harder. Join us in September to hear from O'Reilly author Matt Harrison how to write better Pandas code.

Agenda
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6:00 PM -- Greetings

6:05 PM -- Idiomatic Pandas - Matt Harrison

7:30 PM -- Closings

Location
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Zoom and YouTube Streaming
A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into Zoom, you will be able to watch via YouTube.

Preparation
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This is not an introduction to Pandas so attendees may want to familiarize themselves with Pandas prior to the talk.

Talks
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Idiomatic Pandas
Pandas can be tricky, and there is a lot of bad advice floating around. This talk will cut through some of the biggest issues I've seen with Pandas code after working with the library for a while and writing two books on it.

Speakers
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Matt is a world-renown expert on Python and Data Science. He has a CS degree from Stanford University. He is a best-selling author on Python and Data subjects. His books, Illustrated Guide to Learning Python 3, Intermediate Python, Learning the Pandas Library, and Effective PyCharm have all been best-selling books on Amazon. He just published Machine Learning Pocket Reference and Pandas Cookbook (Second Edition). He has taught courses at large companies (Netflix, NASA, Verizon, Adobe, HP, Exxon, and more), Universities (Stanford, University of Utah, BYU), as well as small companies. He has been using Python since 2000 and has taught thousands through live training both online and in person. Matt can be reached out Twitter @__mharrison__

Resources
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Pandas - https://pandas.pydata.org/
Matt's Author Page - https://www.oreilly.com/people/matt-harrison/
MetaSnake - https://www.metasnake.com/

Online: Enabling Cross-Boundary Data Science with Privacy Enhancing Tech

As data protection becomes more important, it becomes more and more challenging to easily work with such data. How do you both secure data while making it accessible? With homomorphic encryption, users can do just that. Join us in October to hear from one of the leaders in data protection on how data scientists can work with encrypted data.

Agenda
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6:00 PM -- Greetings

6:05 PM -- Enabling Cross-Boundary Data Science with Privacy Enhancing Technologies - Ryan Carr

7:30 PM -- Closings

Location
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Zoom and YouTube Streaming
A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into Zoom, you will be able to watch via YouTube.

Talks
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Enabling Cross-Boundary Data Science with Privacy Enhancing Technologies
Recent breakthroughs in Privacy Enhancing Technologies (PETs) have made it possible to build systems that can keep data encrypted for the entire processing lifecycle. These advances can uniquely enable data scientists to operate on data sets that they otherwise wouldn't be able to access due to an organizational "boundary," such as a security classification or regulatory barrier. This talk will provide a brief introduction to PETs and a detailed walk-through of two algorithms that leverage PETs for data science use cases.

Speakers
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Ryan Carr serves as CTO and VP of Engineering at Enveil, the pioneering Privacy Enhancing Technology company protecting Data in Use. With experience in leading engineering efforts at institutions such as the Johns Hopkins University Applied Physics Laboratory, Ryan’s fields of expertise include large scale analytic systems, distributed algorithms, artificial intelligence, game theory and social learning, and applying cloud computing techniques to simulate and analyze complex interactions among large numbers of autonomous agents. His research in these areas has been published in highly competitive venues such as Proceedings of the Royal Society, AAAI, and AAMAS. Ryan holds a PhD/BS in Computer Science. Ryan can be reached on Twitter at @jryancarr

Resources
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Enveil - www.enveil.com

DAX 2022 - Data | Analytics | Exploration

Online event

After much discussion, we've decided to postpone DAX until Spring 2022. While registrations were increasing, we still fell short of the needed speakers for the event and had always hoped that the first conference would be in-person. We plan on pushing hard the next few months to make our first event a success. We still need help spreading the word and bringing the community together. If you would like to advocate for the conference, please reach out!

The actual date of the conference is not yet set. A placeholder date was listed for now.

The DAX Conference will focus on data science, analytics, and general data exploration. Engineers, data scientists, analytic developers, system architects, and business leaders are encouraged to share their experiences and present a topic that would be of interest to the local data community. Expected attendees include engineers, thought leaders, business leaders, and professionals from local government, government defense and intelligence agencies, start-up companies, large data analytic and data science companies, and local universities.

More information is available at https://daxconf.org

Registration
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DAX 2022 registration will be free and available soon on https://daxconf.org

Call for Speakers
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We are looking for presentations that cover any of the following topics:

- Use cases from industry and government utilizing machine learning, artificial intelligence, and data science
- Analytic successes demonstrating technologies and innovation
- Tools and techniques used for data pipelines, egress, and storage
- Data exploration with visualization, data journalism, and interactive reporting

Location
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The location has not yet been set.

Past events (40)

Estimating Lottery Revenue on a Quantum Computer

Betamore

Photos (82)