Thursday 24 February 18:30 - 21:30

techUK
10 Saint Bride Street
London
EC4A 4AD

Tickets Unavailable
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Women excelling in data

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We are hosting a networking event to shine the spotlight on women excelling in data. Join us on Thursday, 24 February at techUK London.

We believe in encouraging and celebrating diversity in all aspects of technology by bringing women of all levels together to share their knowledge and build networks. We are hosting a networking event for women working in data.

Hear from leading women excelling in data on topics that will help you level up in your career.

Agenda:

6:30 pm - Registration, networking and food

6:50 pm - Intro to 6point6 from Isobel and Paloma

7:00 pm - Valeria Cortez Vaca Diez

Understanding customer behaviour using uplift modelling and causal inference from a senior data scientist at Monzo Bank, Valeria Cortez Vaca Diez

7:45 pm - Natalie Stephenson

Lessons learnt whilst developing a platform for Nightingale Hospital with Natalie Stephenson, data scientist KMPG

8:30 pm - Closing

About our speakers:

Valeria Cortez Vaca Diez, Senior Data Scientist at Monzo

Valeria is a Senior Data Scientist at Monzo Bank. Her work focuses on building credit models and analysis to provide the best borrowing options to customers.

Natalie Stephenson, Data Scientist at KPMG UK

Natalie left academia for a graduate trainee position at KPMG where she has been mastering data, working in analytics, visualisation and data science.

Paloma Rebuelta, Data Science Engineer at 6point6

Paloma is a Data Science Engineer with experience in both Data Science and DevOps engineering. Paloma has primarily focused on providing DevOps and Data Science services in the private sector, with a strong focus in the Energy and Financial Services sectors.

Isobel Daley, Data Scientist at 6point6

Isobel's mission is to make AI accessible to all businesses, regardless of size or industry. She has experience in data acquisition, data modelling, statistical analysis, machine learning, deep learning, and NLP. Combined with a background in business leadership, consulting and economics, Isobel is a highly commercial Data Scientist.

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