The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. The initiative started in 2015 and you can read more about the program here.
We are thrilled to offer a Women in Data Science event in Russian - WiDS Central Asia & Moscow - held on September 17, 2020 starting at:
- 2pm Almaty and Astana
- 11am Moscow
- 4am US Eastern
- 1am US Pacific
The event included speakers from academia and industry based in Almaty, Astana (Nur-Sultan), Moscow and world-wide. And the event was conducted in Russian and was recorded. There were be technology and career talks, as well as panels.
For publicity in Russian
WiDS Central Asia & Moscow is an independent event organized by local WiDS ambassadors to coincide with the annual Global Women in Data Science (WiDS) Conference held at Stanford University and an estimated 150+ locations worldwide. All genders are invited to attend WiDS regional events, which features outstanding women doing outstanding work.
Materials (in Russian)
Recordings with slides
Playlist https://www.youtube.com/playlist?list=PLueW2CELjTGr3g-mWPQp7qCINaCROEPqW
Part 1 https://youtu.be/cRXCUEpBsd4 - Talks
- Slides - Smart Home
- Slides - From Life Science to Data Science (Russian)
- Slides - From Life Science to Data Science (English)
- Slides - Using Data Science for emergency information extraction and decision-making support (Russian)
- Slides - Using Data Science for emergency information extraction and decision-making support (English)
Part 2 https://youtu.be/rLwGNcgTHek - Tech Panel
Part 3 https://youtu.be/I-7SIfpBPuk - Talks
- Slides - Data science as an alternative of mathematical statistics in research and diagnostics
- Slides - Get back to Data Science & Win
Part 4 https://youtu.be/1w3baIuXaFk - Career Panel
Some of the Women in Data Science Speakers and Hosts
Agenda
We continue to update the agenda which you can see below. It includes technical talks, career talks, and panels, reflecting both industry and academia. Most of the sessions and discussion will be in Russian.
WiDS Central Asia & Moscow Agenda
Some Speaker and Panelist Bios
Maria Arkhipova (LLC SAP CIS)
Maria Arkhipova is head of the SAP CIS platform and technology expertise center. She is a leader and ideologist of the SAP Coder competition and the SAP Digital Exchange and SAP Forum conferences in terms of technologies. She is also a project manager with the participation of distributed teams (Moscow, Dubna, Omsk, Seattle, Ho Chi Minh). Maria was a candidate of Physical and Mathematical Sciences. Here thesis defense in 2006 was on the basis of ISP RAS on the topic "Automatic generation of tests for semantic analyzers of translators". Maria is a financial management expert, SAP consultant, graduate of MIRBIS "Corporate Finance". She has authored articles articles and presentations on SAP technologies.
Talshyn Bolatova (Broadstreet Health Economics & Outcomes)Every datum represents a word in a story. A tale that Talshyn, an impassioned Health Economist, interprets, forecasts and tells towards creating more equity in healthcare. Talshyn’s story starts during her undergraduate in Biology from Nazarbayev University in 2017 where she discovered the enormous potential of data for positively disrupting healthcare at a macro level. This inspired her to further obtain her masters degree in Health Economics from the University of British Columbia in 2020. She has 3 publications in Health Economics and Epidemiology, has been featured on dozens of media outlets including Forbes KZ, and has presented posters at various North American conferences with her research on reducing low-value care. Her award winning project to minimize the repercussions of COVID-19 garnered global recognition and support from UNESCO, SAP, the Clinton Foundation and IBM, it was also featured as a finalist for the "CallForCode" global Hackathon which has seen nearly 300,000 developers compete. She’s someone who embodies the belief that you don’t have to be a doctor to fight COVID, a developer to code or have money to make a difference.
- Career Talk : "From life science to data science"
Professor Kulanda Duisebekova (IITU)Bio coming soon
- Panel participation: Technology
Irina Efremova-Garth (IBM)
Irina studied at the Department of Philosophy, Ural State University (1995) and the School of Urban Affairs and Public Policy, University of Delaware, MPA (1999). She has
20+ years experience in the field of Corporate Social Responsibility (CSR) and private philanthropy both in Russia and the USA. She started career at IBM in 2016 as CSR Leader for Russia and CIS countries. In this role integrated IBM business and policy interests with social and public priorities working with CGM and other key decision makers in RCIS communities, IBM clients and government officials. As a result of these activities, in 2019 IBM program “Girls and IT” has been ranked #1 in Russia in the national contest “Leaders of Corporate Philanthropy”, IBM has been recognized as one of 10-top companies investing in the social sphere.
Nina Fedosova (IBM)
Nina is an IT Architect for IBM GTS. She graduated from the Faculty of Mathematics of St. Petersburg State University, Master of Mathematics and Open group Distinguished Certified Architect. Over 30 years of experience in IT. Skilful IT architect with a wide range of competencies (SAN, storage, Unix, Z OS, etc). Worked on enterprise projects in a distributed team (Russia, France, Poland, Czech, India etc). Using IBM Visual Insight (an analytical software for recognition images), initiated several pilot projects with the Central Institute of Traumatology and Orthopaedics for creating AI models for diagnosing bone pathology based on MRI and histological images, including a model for COVID-19 diagnostic.
- Tech Talk: "Data science as an alternative of mathematical statistics in research and diagnostics"
- Panel participation: Tech
Ekaterina Guriankina (IBM)
Ekaterina is an IBM LabServices IT specialist with deep technical hands-on experience in infrastructure hardware/software and project leadership with 9 years experience in different industries and knowledge domains. Bachelor of business informatics (business analytics), MS in software development management with focus on process mining and data mining related projects. Currently she often takes part in Proof of Concept and Proof of Technology for IBM Watson products along with running hands-on and training sessions. Ekaterina likes working with brand new, non-mature systems with documentation gaps developing required skills by practice. She is a member of IBM Academy of Technology
- Panel participation: Career
Nazerke Kalidolda (Google)
Nazerke Kalidolda is a software engineer at Google, working at Chrome on iOS. She has 4 publications in robotics and has been a speaker at international conferences in Japan, Singapore and USA (Chicago). She was a panel moderator at Data for Children by UNICEF. She attended Grace Hopper Celebration of Women in Computing (GHC) in 2017 Orlando, FL, USA as an Anita Borg Scholar. She was an ACM ICPC semifinalist and has participated in other competitive programming contests. Nazerke was a regional ambassador of Technovation Challenge in Kazakhstan
- Panel participation: Technology
Anna Khabibullina (AWS)
Anna is an experienced technology leader with more than 10 years industry experience. She graduated in 2010 with MS degree in Systems Engineering and since then found herself on an adventurous journey to innovation. Anna had an interesting path, she started her career as a QA, then moved to Web Developer discipline and later started her own software development workshop DA-14. After she relocated to the US in 2015, she joined Amazon and has been lucky to have an opportunity to work on such exciting products as AmazonRobotics, Alexa and most recently Amazon Web Services where she holds the title of Lead Technical Program Manager. Anna is an active member of the technology community. She’s participated in numerous hackathons, competitions and spoke at conferences, including HopperNYCx1, Women in ICT, and TechQyzdar. At WiDS, Anna will run a session about application of the ML/AI in real world - Smart Home. You can find more about Anna here: Instagram: @walkingonshine ; Twitter: @_khabibullina ; Linkedin: https://www.linkedin.com/in/annakhabibullina/
Kate Krivtsova (IBM)
Kate has more than 10 years of experience in different IT areas. She has worked in a distributed team (USA, Russia, Germany and India) porting Watson Studio Local on Power platform with GPU nvlink support. Together with colleagues from Hong Kong Lab created Proof of Concept based on Watson Studio Local on Power for one of the biggest banks in Hong Kong. She participated in the creation od a Proof of Concept for a customer in Singapore based on running Power AI Vision object detection models on edge devices. Together with colleagues from USA, Russia and Singapore worked on Edge manufacturing project and responsible for release management.
She is a Member of the IBM Academy of Technology
- Career Talk : “Get back to Data Science & Win”
Professor Madina Mansurova (Al-Farabi Kazakh National University)
Professor Madina Mansurova, PhD, is Associate Professor and Head of Department of Artificial Intelligence and Big Data at Al-Farabi Kazakh National University in Almaty Kazakhstan. She is a supervisor of State Scientific Projects, Member of National Team of the Higher Education Reform Experts (HEREs) in Kazakhstan. Her research interests include Natural Language Processing, Distributed Computing, and Data Analysis
- Tech Talk: “Using Data Science for emergency information extraction and decision-making support”
- Panel participation: Careers
Julia Pakina (IBM)
Julia graduated from Moscow State Linguistics University (1990-1995) with a major in Artificial Intelligence Natural Languages.
She started her career in IBM in 1998. During her career in IBM, she held a number of sales and technical roles, focusing on IBM Power Systems, and eventually on IBM Watson services and software. She currently leads team of Technical Solution Architects in the IBM Client Center in Moscow. Sh is responsible for building and show-casing proof points (prototypes, proof of concepts, proof of technology) of IBM technology – Cloud & AI for potential and existing IBM Clients.
- Panel moderation: Technology Panel
- Panel participation: Career
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