-
Freelance Data Scientist Thomas Wood
Freelance NLP Data Science Consultant.
I Help Organizations Extract Value From Unstructured Data.
Natural Language Processing.
Certified Microsoft Azure Data Scientist Associate.
Freelance NLP Data Science Consultant.
I Help Organizations Extract Value From Unstructured Data.
Natural Language Processing.
Certified Microsoft Azure Data Scientist Associate.
I can provide expert consulting services for your organisation as a freelance data scientist. Check out my profile on LinkedIn and past customers' testimonials on Google ★★★★★, Clutch ★★★★★ and Upwork ★★★★★.
Which customers are likely to switch to a competitor? Product recommendations? Unstructured text or image data? As a data science freelancer I can come on board and advise on your organisation's data strategy.
My journey to data science as a freelancer, and what I offer organisations.
I have been working as a freelance data scientist since 2018. In 2008 I completed a Masters in natural language processing (NLP) at the University of Cambridge, and I went on to work as a data scientist in NLP and machine learning at several major companies such as Tesco, Boehringer Ingelheim and CV-Library. I take on small and large projects for companies of all sizes and industries around the world. Many projects involve complex datasets such as text. I work with cutting edge deep learning technologies.
In a typical natural language processing project, a company has a large number of unstructured documents, which could be survey responses, health and safety reports, financial reports, or medical records. It is notoriously hard to extract structured information from this kind of text dataset. I would come onboard the company on a project basis as a data science freelancer and provide either hands-on coding work, or strategic guidance, so that the client organisation can begin to use the dataset to its full potential. This could involve a statistical analysis of the dataset and a report to stakeholders, the development of a machine learning model, or the productionised deployment of a complete AI predictive model, including engineering work such as web apps and dashboards.