November #MidsTest with Violet Kovacheva - Address Matching: How hard can it be?

For the final #MidsTest of the year, we have they very special Dr. Violeta Kovacheva who will be sharing her experiences with address matching systems.

About the Talk:
With the increase in open source data, issues with data quality and
consistency have increased in prevalence. In this talk, I will discuss some
of the issues that can arise when matching postal addresses from different datasets and how these can be resolved. I will also talk about how fuzzy matching can be used for data cleansing, aiming to provide some practical tips.

Networking is until 19:00, where the presentation will begin, followed by food & further networking until 21:00 (but you don't have to stay that late if you don't want to).

Free parking is available at the venue.

Our meetup venue host are Sainsbury's and the food and drink for the attendees will be sponsored by Xpertise Recruitment.

About Violet:
Dr. Violeta Kovacheva is a Data Scientist for Nimbus Property, a company
that develops a web platform for property related data.

After obtaining a Maths degree from Oxford University, she went on to do a Masters and a PhD in Systems Biology from Warwick University. She worked as a Post-Doctoral Fellow in the Institute of Cancer Research looking into machine learning image processing methods to aid cancer diagnosis. She then moved on to work as a Data Scientist for Wealth Wizards, helping them in their mission to make financial advice more accessible and affordable.