Data Science Consulting

Data Science Consulting at Fast Data Science

Fast Data Science provides Data Science Consulting services across industries. Although we are active in nearly all areas of data science consulting, we focus primarily on natural language processing (NLP) and have a wide range of experience in industries where a large number of unstructured text documents such as PDFs are prevalent, for example the pharmaceutical, healthcare, legal, and insurance industries.

The manager, Thomas Wood, studied a Masters in 2008 at Cambridge University in Computer Speech, Text and Internet Technology and since then he has been working exclusively in data science consulting. In 2018 he founded Fast Data Science to deliver data science consulting services.

An expert data science consultant can consistently add value to your business through enhanced data analytics and business intelligence projects.

Data Science Consulting

Data Science Consulting firm Fast Data Science is listed as a top Big Data Analytics company in Clutch’s list of data science consulting providers.

Using our combined expertise in data analytics consulting and natural language processing, we are able to leverage your data to help you find hidden insights in order to aid business decision making and improve business strategy.

Although the term “data science” has been traced back as far as 1974 when Danish computer scientist Peter Naur proposed it as an alternative term for computer science, the concept of data science as its own discipline is often attributed to American computer scientist William S. Cleveland, who suggested in 2001 that a new name was needed for certain technical applications of statistics.

Data science today can unlock the power and value in your organisation’s unstructured data.

Data Science Consulting examples

Examples of data science consulting engagements which we have delivered include:

• A recommender system to recommend jobs to candidates.
• A model to predict the unloading time of vehicles for Tesco, the UK’s largest supermarket chain.
• A neural network based model to extract structured data and statistics from clinical trial protocols and categorise them according to estimated risk level, developed for the Gates Foundation and published in Wood TA and McNair D. Clinical Trial Risk Tool: software application using natural language processing to identify the risk of trial uninformativeness. Gates Open Res 2023, 7:56 doi: 10.12688/gatesopenres.14416.1.
• An online tool for psychology researchers to compare and harmonise disparate longitudinal datasets.
• Development of a comprehensive data science strategy for Tarion, a Canadian housing regulator.
• A convolutional neural network based face recognition system.
• A voice controlled smart home application.
• A dashboard allowing members of the public to explore survey responses.
• An unsupervised learning model to identify recurring topics and errors in manufacturing and supply chain processes.
• A predictive model for workforce attrition in Microsoft Azure ML.
• A deep learning model, also in Azure ML, to triage emails containing sensitive customer data, with the constraint that data could not leave in-house systems.
• A predictive model using neural networks to deduce attributes of jobseekers' CVs.
• A model that predicts customers' online purchase amounts.

Data science consulting and unstructured data

Today many companies, in particular in certain industries such as healthcare, pharmaceuticals, legal, and insurance, have large amounts of unstructured data. This is typically data in text format, which may even be unscanned documents, PDFs, HTML, or any other file type.

Unstructured data is very difficult to deal with but can contain a goldmine of information. Fast Data Science specialises in extracting value from organisations' unstructured datasets.

In a data science consulting engagement, we will take the time to understand your business processes and what kind of data is making your business tick. The solution may be a cutting-edge tool such as GPT-3.5 or it could be a simple linear regression model. We are not swayed by buzzwords or hype, and will simply cut through the information overload to help deliver an AI strategy that suits your needs.