top of page
International workshop

Women in Data Science: UK experts
15th December 2022
KBTU SDG International workshop series

Registration
ABOUT

Women in Data Science: UK experts 

Nowadays the world is transforming under huge wave of Data science based technologies and women play important role in "steering the ship" of our society toward better conditions of living, getting quality education and coping with climate change challelnges.  

We are conducting workshop seminar series on regular basis and we welcome your proposals for future events.

The first workshop will held in December 15, 2022 (online) and it is dedicated to the challenges that women meet in data science industry and you are invited to listen to our first wokshop where speakers are the experts from the UK and share their knowledge, experience and stories on how they conduct research in ML, AI and Data Science and do bussineses in the UK and over the world. ​

Futuristic Female Soldier

Our
Speakers

image0.jpeg
Assel
Altayeva
DATA QUALITY LEAD, PEABODY
DATA SCIENCE CONSULTANT, PIXSELLAR TECH, UK 
  • Twitter
  • LinkedIn

Assel hold Research degrees in Mathematics and Computer Science from Novosibirsk University Russia and Imperial College London. Experienced both as a hands-on data scientist in AI tech startups, IT consultant at Accenture as well as a university lecturer. She developed and taught courses in AI and Machine Learning, Software Architecture, Data Modelling, and Principles of Distributed Ledger to undergraduate and postgraduate classes. Currently Assel leading on data integration of  major UK housing associations merger.

Assel is a passionate ambassador of diversity and inclusion of STEM education, being part of the leadership of the London Chapters of Women in Data Science Stanford University, AnitaB.org, and Women in Computing at Imperial.

Lea Gorgulu Webb
HEAD OF DATA GOVERNANCE
PREQIN, UK
  • Twitter
  • LinkedIn

Lea Gorgulu Webb is currently the Head of Data Governance at Preqin, a data as a service provider of private equity data. They have worked in London in data since completing a Masters in Quantitative Research Methods for Policy Analysis at University College London, in 2015. Before joining Preqin, they acted as a non-technical strategic and governance manager and as a technical advisor and data analyst across London. 

 

Leahas volunteered to help women move into data and technology careers since 2016, when Lea became involved with the Women in Data Science movement coordinated by Stanford University. Lea has run free workshops, and mentored women and others who are unlikely to have personal networks that support them into the data and technology industries. 

 

Before coming to London, Lea was a lawyer in the USA. As a lawyer, Lea worked with immigrants and victims of domestic violence, sexual assault, trafficking-in-persons and labor abuse. Lea was widowed in 2010 and took a break from practicing law to recover from the trauma.

 

Lea grew up on a family farm in Kentucky, USA. They have lived and worked in Cincinnati, Seattle, New York, in the US and in Antalya, Turkey. Lea speaks Spanish and Turkish and previously spoke German, in addition to English. Lea's parents did not attend university, and Lea realises that family networks have, historically, been key to professional success. They believe that creating a supportive network is key for anyone. Lea also values learning and doing new things, regardless of age.

Lea.jpg
Preqin_Portrait_Javkhaa_Gereltuya_1.jpg.jpeg
Javkhaa Gereltuya
VP OF DATA QUALITY CONTROL 
PREQIN, UK
  • LinkedIn

As the VP of Data Quality Control, Javkhaa is responsible for developing and managing quality control processes to ensure the integrity and accuracy of the data used by her organization. She is dedicated to continuously improving the quality of the data to support better decision-making and drive business success. In addition, Javkhaa is passionate about using technology and automation to streamline the data processing workflow and make it more efficient and accessible for all stakeholders. She is committed to driving innovation and excellence in the field of data quality control.

The

Venue

ABOUT THIS VENUE:

The SDG seminar series are conducted in the online format.

FULL ADDRESS OF ORGANIZERS:
Kazakh-British Technical University, Tole Bi Street 59, Almaty 050000, Kazakhstan
Speakers
Schedule
Venue

Schedule

15:00
Welcome
15:05
Assel Altayeva
Title of the talk: Postcolonial AI and how do we use data to amplify voices of women.
15:20
Lea Gorgulu Webb
Title of the talk: Roles for Today and the Future
15:35
Javkhaa Gereltuya:
Title of the talk: Improving data quality and workflow efficiency using low code/no code platform
15:50
Question and answers
16:00
Closing Remarks
bottom of page