Founded in 2016, ADSP is a consultancy that provides businesses with world-class data science and AI solutions that deliver long-term value. We are a team of data engineers, scientists and architects who understand what it takes to meet this objective, every time.
Every one of our projects is bespoke, but there are some core themes that run throughout our work.
We favour a highly communicative approach - we take the time to meet with your team and establish the optimal way to utilise the data you are collecting. We also value transparency in our models - our data scientists know how to build state-of-the-art, interpretable models that predict, optimise and provide actionable recommendations. Lastly, we love automation - our highly skilled data engineers know the best way to deploy and scale the solution so that your business can start feeling the benefits of the project right away.
Above all, our clients value our ability to transfer knowledge of the solution to internal stakeholders, both from a technical and non-technical perspective. We do this by spending time on-site with your team to walk through the deliverables in person. Our goal is to build solutions that feel part of the everyday running of your business and measurably contribute to its success. We care that the services that we provide stand the test of time.
By engaging with us you can expect the highest quality of service and delivery on every project. Through our combined experience, we have developed a best-practice approach to developing AI technology, ensuring our clients are able to take advantage of the huge opportunities offered by the application of machine learning and data science.
If you'd like to know more about any of our services or previous projects, please do reach out and we'd be happy to discuss further.
Ross has over 15 years’ experience in BI and data science, he's led teams in Europe & APAC that help companies develop products, manage inventory, optimise contact strategies and reduce churn.
David is experienced in the design and implementation of advanced statistical and machine learning techniques. He holds an MA in Mathematics from Cambridge and an MSc in Operational Research.
Head of Operations
Amy is a leader with an analytical and strategic mind. She has a background in marketing and brings a wealth of commercial experience to the leadership team.
Head of Engineering
Ali is a Chartered Rail Systems and Software Engineer with consulting and development experience. He has led engineering teams both at large multi-national consultancies and at tech startups.
Lead Data Engineer
Joe graduated at the top of his class from the University of York with a 1st BSc in Physics. He is ACA qualified (5 years post qual) and has worked on major migrations, complex mapping, cleansing and configuration of data.
Lead Data Scientist
Gerta brings deep practical experience of building AI/ML solutions (XGBoost / Deep Neural Networks etc.) for industrial applications. She holds a MSc in Data Science from the University of Munich.
Aleshia holds a BSc in Business Management from the University of East London. She is a highly organised self-starter and co-ordinates data science projects across the business.
Riccardo brings extensive mathematical optimisation experience to the team and is a highly accomplished Python and Pyspark developer. He holds an MSc in Data Science.
Mai has 10 years business experience including various technical programming statistics and machine learning projects. She holds a MSc in Data Analytics at Oxford Brookes University.
Full Stack Developer
Evelina has a MRes in Biochemistry, her previous experience lies in genome sequencing, but her interest shifted recently to programming liquid handling robots which led her to software development.
Associate Data Engineer
Khaleel holds a BSc in Computer Science & Artificial Intelligence from the University of Sussex. He has analytical, problem-solving and statistical skills along with Python and SQL expertise.
Associate Data Scientist
William holds an MSc in Artificial Intelligence and specialises in environmental data. His machine learning skills span Image Classification, NLP, Regression and Classification.
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