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Jedidiah Francis -ASOS & Martina Pugliese-Mallzee -Personalisation in E-commerce

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Michael Y.
Jedidiah Francis -ASOS & Martina Pugliese-Mallzee -Personalisation in E-commerce

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Speaker 1 - Jedidiah Francis (Head of Data Science)-

https://uk.linkedin.com/in/jedidiahfrancis

A quest for personalisation in E-commerce" -

We are very happy to welcome Jedidiah to Glasgow. He is a world class presenter and an expert in his field. He has built and continues to build an exceptional team to solve tough problems that drive enormous business value.

Specialties: Statistical Modelling, Probabilistic modelling, Computational Statistics, Data Analysis, Machine learning algorithms, data mining, Classification, Maximum likelihood estimation, Hidden Markov models, Bioinformatics, algorithmic coding, R, C++, Pig, Hive, Hadoop, Mahout, Map/Reduce.

Speaker 2 - Martina Pugliese - Data Scientist at Mallzee

https://uk.linkedin.com/in/martinapugliese

Martina is a Data Scientist at Mallzee, a startup based in Edinburgh whose mobile app is known as the "Tinder for Fashion" due to the swipes-like interface it has created as first in the Fashion market. She is a physicist by background with training in data analysis and modelling, having worked in predicting how and when natural language evolves in time. She daily analyses large datasets of preferences which the users of the app produce. Her responsibilities at Mallzee range from producing algorithms for personalisation and generating insights about fashion trends in the market, to informing the business' strategy with data. She is the opposite of a fashion fanatic, but she believes the rich data in this field provides a passport into people's mind, and finds fascinating studying that.

Event schedule:
6:30 PM – 7:00 PM: Networking
7:00 PM – 7:30 PM: Jedidiah Francis - Head of Data Science - https://uk.linkedin.com/in/jedidiahfrancis
7:30 PM – 7.45 PM: Q & A Session
7.45 PM - 8.15 PM: Speaker 2 - Martina Pugliese - Data Scientist at Mallzee https://uk.linkedin.com/in/martinapugliese
8:15 PM – 8:30 PM: Q & A session
8.30 PM – 9.00 PM: Networking and Drinks

If you would like to join us for a relaxed evening of insight, debate, pizza and beer then just RSVP :)!

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