Case Studies

Data Science Consulting
Case Studies
Boehringer Ingelheim – NLP clustering on factory error reports

Boehringer Ingelheim – NLP clustering on factory error reports

How we used a Natural Language Processing clustering algorithm to assist pharmaceutical company Boehringer Ingelheim to gain insights into and discover topics in their manufacturing processes. The pharmaceutical company Boehringer Ingelheim manufactures a number of diabetes and cancer medication and animal health products. Boehringer has a large network of manufacturing facilities stretching across the globe. Drugs may be synthesised in one country, packaged in another, and shipped to a third country for distribution.

Information Commissioner's Office - ML email classification model

Information Commissioner's Office - ML email classification model

ICO: Email classification

The Information Commissioner’s Office (ICO) is the public body which is responsible for regulating data protection in the UK. The ICO’s mission is to “uphold information rights in the public interest, promoting openness by public bodies and data privacy for individuals”. Organisations and freelancers all over the UK must register and pay a monthly fee to the ICO if they are processing personal data.

CBT Clinics - Counsellors, Psychiatrists and Therapists Recruitment

CBT Clinics - Counsellors, Psychiatrists and Therapists Recruitment

CBT Clinics: Counsellors, Psychiatrists and Therapists Recruitment

CBT Clinics is a UK-based company offering mental healthcare practitioners. They have a roster of counsellors, psychiatrists and therapists, and wanted to expand to recruit more clinicians and also to understand the nuances of the counselling and therapy market in the UK.

Tesco – Customer basket weights

Tesco – Customer basket weights

Customer basket weight prediction for Tesco

Tesco is one of the biggest names in home shopping in the UK. Millions of customers rely on Tesco for their weekly grocery shop, with these numbers only increasing during the pandemic.

White Ribbon Alliance - Natural Language Processing for Non-Profit

White Ribbon Alliance - Natural Language Processing for Non-Profit

White Ribbon Alliance: Natural Language Processing for Non-Profit

The White Ribbon Alliance (WRA) is a Washington, DC-based charity with the goal of making sure every woman survives childbirth, worldwide. WRA is supported by a range of celebrities from Naomi Campbell to Sarah, Duchess of York.

Boehringer Ingelheim – Finding molecules and proteins in scientific literature

Boehringer Ingelheim – Finding molecules and proteins in scientific literature

We have worked on a number of different projects where a client needed to parse scientific literature and identify occurrences of molecules or proteins.

CV-Library – Customer conversion on online form

CV-Library – Customer conversion on online form

Customer conversion on online form for CV-Library

On a project for CV-Library, we found that the web form that was used for jobseeker signup was very long. By analysing the fields in the form we were able to establish that users were confused by some fields, and lingered for a long time in some areas.

National Health Service – Predicting employee attrition

National Health Service – Predicting employee attrition

The National Health Service in the UK

The UK’s National Health Service is the publicly-funded healthcare system in the UK. It is by far the largest employer in the country, with over 1.2 million employees. The NHS was founded in 1948 by health minister Aneurin Bevan in the aftermath of the Second World War. This was the first time that free healthcare was offered to all citizens of a country, paid for by taxes rather than by insurance premiums.

NLP in pharma: NLP clinical trials analysis

NLP in pharma: NLP clinical trials analysis

NLP in pharma

Natural language processing (NLP) is now disrupting the pharmaceutical industry as pharma companies are using NLP to aid decision making at all stages of drug development and go-to-market, from NLP for data redaction and anonymisation of sensitive data, NLP for pharma literature mining, NLP for drug discovery, NLP for drug named entity recognition, and NLP and AI for strategic clinical trial design.

Pharma – PubMed authorship analysis

Pharma – PubMed authorship analysis

Authorship Analysis for PubMed

For one client in the pharma industry, we developed cross-platform desktop tool which allows a user to import search results from PubMed for a particular term, and process them into knowledge graphs.

Past clients of Fast Data Science

We work with clients all over the world, although the majority of our clients are in the UK, followed by the USA and the rest of Europe.

Industry expertise

We have focused on healthcare and pharmaceuticals but are open to working in a range of industries.

Consulting case studies at Fast Data Science

Some of the projects we have worked on in the past include:

  • A dashboard allowing members of the public to explore survey responses, which have been automatically categorised using machine learning, for White Ribbon Alliance. This dashboard was presented to the United Nations in 2021.
  • An unsupervised learning model to identify recurring topics and errors in the manufacturing and supply chain processes for Boehringer Ingelheim. The errors were written in plain English or the local language of each facility.
  • A predictive model in Microsoft Azure ML which identified which junior doctors (interns/residents) at the UK’s National Health Service (NHS) are at risk of leaving the organisation.
  • A deep learning model, also in Azure ML, to categorise emails from customers for the Information Commissioner’s Office.
  • A neural network based model to extract structured data and statistics from clinical trial protocols, also for Boehringer Ingelheim.
  • A predictive model using neural networks to deduce attributes of jobseekers’ CVs, deployed on the website of CV-Library.
  • A model that predicts customers’ online purchase amounts, for the British supermarket chain Tesco.

Interactive graph of past clients

In our interactive graph you can view and explore where our clients are from and what industries they are in.

More case studies

  • A recommender system to recommend jobs to candidates for CV-Library.
  • A model to predict the unloading time of vehicles, used to improve accuracy of logistics planning for grocery deliveries, also for Tesco.
  • A convolutional neural network based face recognition system, built for Android, iOS and desktop apps and used for biometric security.
  • A voice controlled smart home application.

What we can do for you

Transform Unstructured Data into Actionable Insights

Contact us