{"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":"2022-05-06T20:16:32","modified_gmt":"2022-05-06T20:16:32","slug":"about","status":"publish","type":"page","link":"https:\/\/pydata.org\/yerevan2022\/about\/","title":{"rendered":"About"},"content":{"rendered":"

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\n\t\t PyData Yerevan 2022<\/h2>

\n\t\t PyData Yerevan 2022 will be a 2-day event with Talks, Tutorials, keynote speakers, and community events. \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;}” el_id=”overview”][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>

PyData Yerevan 2022 will be a 2-day event with Talks, Tutorials, keynote speakers, and community events.<\/p><\/div>\n <\/div>[vc_column_text css_animation=”none” el_class=”font-family-alt”]We welcome attendees with wide varieties of experiences, expertise, and backgrounds to create a diverse and compelling learning opportunity. Users, contributors, and newcomers can share experiences and learn from one another to solve hard problems and grow a stronger community.<\/span><\/p>\n

Presentations will be given live with opportunities for questions and answers to facilitate a more engaging experience and a deeper discussion. Presentations will come in a variety of formats, such as workshops, talks, and panel discussions to create diverse learning experiences.<\/p>\n

Following each session, a recording will be posted to attendees for continued viewing. At the conclusion of the Summit, all presentations will be posted on YouTube.<\/p>

The event will be in-person at the\u00a0<\/b>American University of Armenia<\/a><\/b>\u00a0(40 Marshal Baghramyan Ave, Yerevan 0019, Armenia).<\/b><\/p>\n

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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 sustainable high-level programming languages, open code development, and reproducible scientific research. We accomplish this mission through our educational programs and events as well as through fiscal sponsorship of open source scientific computing projects. We aim to increase collaboration and communication within the data science and scientific computing community.<\/p>\n

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

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

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Organizing Committee<\/h3><\/div>\n <\/div>[vc_row_inner][vc_column_inner width=”1\/2″]
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\"Vahe\"Vahe<\/div>
\n\t\t\t\t\t\t Vahe Hakobyan<\/span>\n\t\t\t\t\t\t <\/div>
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Vahe Hakobyan<\/span>Senior Applied Scientist at Zalando SE<\/span>
Vahe Hakobyan is a senior applied scientist at Zalando SE. Previously the founder and team-lead of PicsArt AI Research team in Armenia. He has two master degrees: Computer Science from University of Bonn, with specialisation in Machine Learning, and Mathematics from Yerevan State University, with specialisation in Differential Equations. Active member and one of the founders of the Armenian Data Science Community. Evangelist of engineering and machine learning best practices.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>
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\"Habet\"Habet<\/div>
\n\t\t\t\t\t\t Habet Madoyan<\/span>\n\t\t\t\t\t\t <\/div>
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Habet Madoyan<\/span>Chair of the BS in Data Science Program at the American University of Armenia<\/span>
Habet Madoyan is the inaugural Chair of the BS in Data Science Program at the American University of Armenia. The areas of his scientific expertise include conjoint analysis, machine learning, predictive modelling, data visualisation. He is the founder of a data-science consulting company and is active in the data sciences community, start-ups, and the Yerevan R users' Group Meetup. Habet is also the co-founder of data science consulting company Datamotus.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″]
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\"Lusine\"Lusine<\/div>
\n\t\t\t\t\t\t Lusine Sargsyan<\/span>\n\t\t\t\t\t\t <\/div>
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Lusine Sargsyan<\/span>President of the Armenian branch of Plat.AI<\/span>
Lusine is the President of the Armenian branch of Plat.AI: a company which builds data science solutions for a wide range of businesses. Lusine also works for international organizations as a consultant to support different government bodies in facilitating evidence-based policy making through utilization of all available data sources. She has also held different data-related positions in research institutions, public and private organizations. Her main interests include the application of big data analysis in new domains which can bring either added social value or commercial benefit.<\/div><\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>
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\"Erik\"Erik<\/div>
\n\t\t\t\t\t\t Erik Hambardzumyan<\/span>\n\t\t\t\t\t\t <\/div>
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Erik Hambardzumyan<\/span>Data Scientist & Adjunct Lecturer at the American University of Armenia<\/span>
Erik hambardzumyan\u2019s first research experience took place at CRRC Armenia in 2016 where he completed a junior fellowship researching social survey data. In 2017 he joined PicsArt as a data scientist to the artificial intelligence team and worked on various projects employing big data technologies until 2021. In late 2021 he joined Webb Fontaine and is working on data insights projects. In 2022 he joined American University of Armenia as an adjunct lecturer. His main interests include A\/B testing, causal inference, data mining, and insight analytics in big data.<\/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][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%2Fyerevan22.wpengine.com\/global2021%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%2Fyerevan22.wpengine.com\/global2021%2Fdiversity%2F|title:Conduct”][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

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