{"id":621,"date":"2021-01-19T22:41:18","date_gmt":"2021-01-19T22:41:18","guid":{"rendered":"http:\/\/dasksummit.wpengine.com\/?page_id=621"},"modified":"2022-11-11T16:42:28","modified_gmt":"2022-11-11T16:42:28","slug":"about","status":"publish","type":"page","link":"https:\/\/pydata.org\/nyc2022\/about\/","title":{"rendered":"About"},"content":{"rendered":"

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\n\t\t About PyData NYC<\/h2>

\n\t\t PYDATA NYC IS WHERE USERS, CONTRIBUTORS, AND NEWCOMERS CAN SHARE EXPERIENCES TO LEARN FROM ONE ANOTHER AND GROW TOGETHER.
\n\ufe3e\n\t\t <\/p><\/div>\n\t\t \n\t\t <\/div>\n\n\t\t <\/div>\n\n\t\t <\/div>\n\n\t\t <\/div><\/div>[\/vc_column][\/vc_row][vc_row full_width=”stretch_row_content_no_spaces” opacity_bg_pattern=”0.1″ css=”.vc_custom_1611257511952{padding-top: 100px !important;}”][vc_column css=”.vc_custom_1611096228819{padding-right: 100px !important;padding-bottom: 100px !important;padding-left: 100px !important;}”][vc_row_inner][vc_column_inner width=”1\/4″][\/vc_column_inner][vc_column_inner width=”1\/2″]

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Conference Overview<\/h3>

We welcome attendees with wide varieties of experiences, expertise, and backgrounds to join us at the Microsoft Conference Center. Users, contributors, and newcomers can share experiences and learn from one another to solve hard problems and grow a stronger open-source community.<\/p><\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/4″][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/4″][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_column_text]<\/p>\n

November 9-10 | Talks<\/h1>\n

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November 11 | Tutorials<\/h1>\n

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The event will be in-person at the Microsoft Conference Center, Times Square. (11 Times Sq, New York, NY 10036<\/a>) Wednesday, November 9-10 are talk days, and Friday, November 11th is a tutorial day.<\/strong><\/p>\n

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As we work to assemble programming for the 2022 conference, you can browse topics covered at the 2019 event for a better idea of the subject matter covered at PyData NYC.<\/h3>\n

[\/vc_column_text][vc_btn title=”See the Previous Schedule” style=”flat” shape=”square” color=”info” align=”center” i_icon_fontawesome=”far fa-calendar-alt” add_icon=”true” link=”url:https%3A%2F%2Fpydata.org%2Fnyc2019%2Fschedule%2F” el_class=”button-primary” css=”.vc_custom_1657222046399{margin-top: 40px !important;margin-bottom: 40px !important;}”][\/vc_column][\/vc_row][vc_row full_width=”stretch_row_content_no_spaces” opacity_bg_pattern=”0.1″ css=”.vc_custom_1611257511952{padding-top: 100px !important;}” el_id=”overview”][vc_column css=”.vc_custom_1611096228819{padding-right: 100px !important;padding-bottom: 100px !important;padding-left: 100px !important;}”][vc_row_inner el_id=”pydata”][vc_column_inner width=”1\/4″][\/vc_column_inner][vc_column_inner width=”1\/2″]

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About PyData<\/h3><\/div>\n <\/div>[vc_column_text css_animation=”none” el_class=”font-family-alt”]PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.<\/p>\n

We aim to be an accessible, community-driven conference, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.<\/p>\n

NumFOCUS<\/h3>\n

The mission of NumFOCUS is to promote open practices in research, data, and scientific computing by serving as a fiscal sponsor for open source projects and organizing community-driven educational programs.<\/p>\n

NumFOCUS is a 501(c)3 public charity in the United States.<\/p>\n

To learn more about PyData, visit pydata.org<\/a>.<\/span><\/p>\n

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Organizing Committee<\/h3><\/div>\n <\/div>[vc_row_inner][vc_column_inner width=”1\/3″]
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\n\n
\"Lauren\"Lauren<\/div>
\n\t\t\t\t\t\t Lauren Oldja<\/span>\n\t\t\t\t\t\t <\/div>
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\n
\n
Lauren Oldja<\/span>
Third time PyData NYC Executive Chair, Lauren Oldja is a long-time NumFOCUS supporter and Principal Data Scientist at Bonterra \/ NGPVAN.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Rinchen\"Rinchen<\/div>
\n\t\t\t\t\t\t Rinchen Lama<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Rinchen Lama<\/span>
Rinchen is software engineer from Nepal who is passionate about solving problems. He likes chess, tennis and organizing events.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Ameet\"Ameet<\/div>
\n\t\t\t\t\t\t Ameet Subedi<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Ameet Subedi<\/span>
Hello, I am an embedded engineer at Dish. I like to read books, write articles, and watch sports.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Anna\"Anna<\/div>
\n\t\t\t\t\t\t Anna Vasilyeva<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Anna Vasilyeva<\/span>
Anna is a Data Scientist at Two Sigma. Outside of the data world, she spends a lot of time hiking and traveling.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Na'im\"Na'im<\/div>
\n\t\t\t\t\t\t Na'im Tyson, PhD<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Na'im Tyson, PhD<\/span>
Senior Data Enthusiast specializing in NLP and Machine Learning.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
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\n\n
\"Michael\"Michael<\/div>
\n\t\t\t\t\t\t Michael Green<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Michael Green<\/span>
Mike is a data scientist, chip design engineer, and inventor with over 25 years of experience working in tech.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″]
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\n\n
\"Dheeraj\"Dheeraj<\/div>
\n\t\t\t\t\t\t Dheeraj Tommandru<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Dheeraj Tommandru<\/span>
Dheeraj Tommandru is current MS student at SUNY Binghamton. He's graduate research associate of WISE working on improving healthcare systems through analytics.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Abby\"Abby<\/div>
\n\t\t\t\t\t\t Abby Tse<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Abby Tse<\/span>
Abby is a software engineer at IBM working with AI\/ML. She enjoys reading, traveling, and volunteering in her free time.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
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\n\n
\"Niharika\"Niharika<\/div>
\n\t\t\t\t\t\t Niharika Krishnan<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Niharika Krishnan<\/span>
Computer Science Grad @ New York University | ML - Quant Finance @ Goldman Sachs | Leveraging AI to help people lead better lives!<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″]
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\n\n
\"Abhisek\"Abhisek<\/div>
\n\t\t\t\t\t\t Abhisek Sen<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Abhisek Sen<\/span>
Abhisek is a physicist by education, currently working as AI\/ML Lead at JP Morgan Chase. He is passionate about building data science at scale.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
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\n\n
\"Hari\"Hari<\/div>
\n\t\t\t\t\t\t Hari Saran<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Hari Saran<\/span>
I'm a brainstormer with high engineering talents;Software Engineer at Microsoft<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Cameron\"Cameron<\/div>
\n\t\t\t\t\t\t Cameron Riddell<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Cameron Riddell<\/span>
A top 0.5% answerer on StackOverflow, Cameron Riddell is an Associate Instructor and Tech Lead at Don\u2019t Use This Code with over 8 years\u2019 experience.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"James\"James<\/div>
\n\t\t\t\t\t\t James Powell<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
James Powell<\/span>
James Powell is a professional Python programmer and enthusiast who consults for those building data engineering and scientific computing platforms.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Aachal\"Aachal<\/div>
\n\t\t\t\t\t\t Aachal Ghimire<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Aachal Ghimire<\/span>
Hi! Aachal is a graduating senior with a a major in Business, Marketing and finance<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Lhamu\"Lhamu<\/div>
\n\t\t\t\t\t\t Lhamu Sherpa<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Lhamu Sherpa<\/span>
Lhamu is a recent psychology and statistics graduate interested in tech.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Ravi\"Ravi<\/div>
\n\t\t\t\t\t\t Ravi Kumar Yadav<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Ravi Kumar Yadav<\/span>
Ravi Kumar Yadav is an experienced senior data scientist. In last six years he has built data science solutions for fraud detection at Bank of America and text based recommendation solutions at Walmart Search.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Hajime\"Hajime<\/div>
\n\t\t\t\t\t\t Hajime Takeda<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Hajime Takeda<\/span>
Hajime graduated from Kyoto University in Japan with a Master's in Computer Science. He has 5 years of expertise in the data science\/data analytics area. <\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=”64px”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″ el_id=”procom”][vc_column]
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Program Committee<\/h3><\/div>\n <\/div>[vc_row_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Aaron\"Aaron<\/div>
\n\t\t\t\t\t\t Aaron Richter<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Aaron Richter<\/span>Data Engineer at Squarespace<\/span>
Aaron Richter is a software developer with a passion for all things data. His work involves making sure data is clean and accessible, and that the tools to access it are at peak performance. Aaron is currently a data engineer at Squarespace, where he supports the company\u2019s analytics platform. He has given talks at several major data conferences, including PyData, Spark Summit, and ODSC. Aaron is based in NYC and holds a PhD in machine learning from Florida Atlantic University.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Jane\"Jane<\/div>
\n\t\t\t\t\t\t Jane Adams<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Jane Adams<\/span>Data Scientist at Two Sigma<\/span>
Jane works at Two Sigma Investments, where her job is to think about the many ways datasets can break and how to deal with it. Previously, she worked as a data scientist in the child welfare domain. She has an undergraduate degree in Emergence in Complex Systems from NYU, and a MS in Applied Urban Data Science (also from NYU). Outside of work, she makes ceramics and runs a community direct aid operation to provide diapers to Brooklyn families every week.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Jeff\"Jeff<\/div>
\n\t\t\t\t\t\t Jeff Reback<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Jeff Reback<\/span>Managing Director at Two Sigma<\/span>
As a former quant Jeff Reback has much experience in building financial trading systems, using python and working with very large data. He has been a core committer to the pandas project since 2011, and has managed the project since 2013. Jeff is a Managing Director at Two Sigma, overseeing the research environment. Jeff holds a B.S. in Computer Science from the Massachusetts Institute of Technology.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Michael\"Michael<\/div>
\n\t\t\t\t\t\t Michael Zargham<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Michael Zargham<\/span>Founder and Chief Engineer at BlockScience<\/span>
Dr. Zargham is the founder and Chief Engineer at BlockScience, as well as a core member of the Metagovernance Project. He holds a PhD in Electrical and Systems Engineering from the University of Pennsylvania with a focus on Optimal Dynamic Resource Allocation Policies.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Thomas\"Thomas<\/div>
\n\t\t\t\t\t\t Thomas J. Fan<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Thomas J. Fan<\/span>Senior Software Engineer at Quansight Labs, Maintainer for scikit-learn<\/span>
Thomas J. Fan is a Senior Software Engineer at Quansight Labs and is a maintainer for scikit-learn, an open-source machine learning library for Python. Previously, he worked at Columbia University to improve interoperability between scikit-learn and AutoML systems. He is a maintainer for skorch, a neural network library that wraps PyTorch. He has a Masters in Mathematics from NYU and a Masters in Physics from Stony Brook University.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Jacqueline\"Jacqueline<\/div>
\n\t\t\t\t\t\t Jacqueline Nolis<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Jacqueline Nolis<\/span>Principal Data Scientist at Stitch Fix<\/span>
Dr. Jacqueline Nolis is a data science leader with over 15 years of experience in managing data science teams and projects at companies ranging from DSW to Airbnb. Jacqueline has a PhD in Industrial Engineering and coauthored the book Build a Career in Data Science. For fun she likes to use data science for humor\u2014like using deep learning to generate offensive license plates.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][\/vc_row_inner][vc_empty_space height=”64px”][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=”0.1″][vc_column]
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CodeDuels<\/h3><\/div>\n <\/div>[vc_row_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Chinmay\"Chinmay<\/div>
\n\t\t\t\t\t\t Chinmay Devadhar<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Chinmay Devadhar<\/span>
Chinmay is a high school senior from Fremont, CA. He and Nathan are super excited to attend the conference and see their project, CodeDuels, in action!<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n
\n\n
\"Nathan\"Nathan<\/div>
\n\t\t\t\t\t\t Nathan Liu<\/span>\n\t\t\t\t\t\t <\/div>
\n
\n
\n
Nathan Liu<\/span>
Nathan is a high school senior from Fremont, California. Along with Chinmay Devadhar, he built CodeDuels, one of the many activities at PyData NYC.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=”64px”][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/2″]
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Conduct<\/h3>

PyData has an engaged and respectful community made up of people from all over the world. We are committed to creating a productive, professional, and inclusive environment for everyone. All community members are expected to show respect and courtesy to other attendees throughout the conference, all conference events and online forums. Our code of conduct is strictly enforced.<\/p><\/div>\n <\/div>[vc_btn title=”Code of Conduct” style=”flat” shape=”square” color=”black” align=”center” link=”url:https%3A%2F%2Fpydata.org%2Fnyc2022%2Fconduct%2F|title:Conduct”][\/vc_column][vc_column width=”1\/2″]

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Diversity<\/h3>

Our commitment to the PyData community is to create an inclusive and respectful conference environment that invites participation of people from all backgrounds. We welcome a diverse attendance to foster deeper discussions and build a stronger community.<\/p><\/div>\n <\/div>[vc_btn title=”Learn More” style=”flat” shape=”square” color=”black” align=”center” link=”url:https%3A%2F%2Fpydata.org%2Fnyc2022%2Fdiversity%2F|title:Conduct”][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row full_width=”stretch_row_content_no_spaces” opacity_bg_pattern=”0.6″ ova_bg_pattern=”#000000″][vc_column][\/vc_column][\/vc_row][vc_row full_width=”stretch_row_content_no_spaces” opacity_bg_pattern=”0.1″ css=”.vc_custom_1611257511952{padding-top: 100px !important;}”][vc_column css=”.vc_custom_1611096228819{padding-right: 100px !important;padding-bottom: 100px !important;padding-left: 100px !important;}”][vc_row_inner][vc_column_inner width=”1\/4″][\/vc_column_inner][vc_column_inner width=”1\/2″][\/vc_column_inner][vc_column_inner width=”1\/4″][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=”1\/4″][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_column_text] November 9-10 | Talks [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][vc_column_text] November 11 | Tutorials [\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/4″][\/vc_column_inner][\/vc_row_inner][vc_column_text] The event will be in-person at the Microsoft Conference Center, Times Square. 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