About Us

Applied Data Science Partners (ADSP) is an innovative consultancy dedicated to delivering value through the application of data science and AI.

About Us

Our Story

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.

The Team

Ross Witeszczak

Ross Witeszczak

Founding Partner

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 Foster

David Foster

Founding Partner

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.

Amy Bull

Amy Bull

Partner and 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.

Ali Parandeh

Ali Parandeh

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.

Zine Eddine

Zine Eddine

Head of Business Development

Zine has 10 years experience working with entities across four continents. His academic background is in Political Economy with a focus on how AI can facilitate the promotion of human capabilities and improved business outcomes.

Jonny Davis

Jonny Davis

Head of Data Science

Jonny has a background in Physics and over 6 years experience in data science consulting. He has worked across a range of industries, from public sector and energy to construction and telecomms.

Joe Rowe

Joe Rowe

Head Of Technical Assurance & Compliance

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 as a software engineer has worked on major system migrations and greenfield AI/ML projects across various industries.

Aneta Blazyczek

Aneta Blazyczek

Head of People

Aneta is an experienced HR professional, MCIPD and SHRM-SCP qualified. She is passionate about driving impactful organisational changes and creating workplace cultures that support growth and development of diverse talent.

Aleshia Parkes

Aleshia Parkes

Project Coordinator

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.

Mai Do

Mai Do

AI Engineer

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.

Evelina Kireilyte

Evelina Kireilyte

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.

Khaleel Syed

Khaleel Syed

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.

William Holmes

William Holmes

Senior Data Scientist

Will holds an MSc in AI, with expertise in software engineering. He has experience in multiple fields including Reinforcement Learning, Generative AI and Forecasting, in the Cybersecurity, Financial Services, and Agricultural sectors.

Giulia Scardovi Casadio

Giulia Scardovi Casadio

Sales and Marketing Operations Manager

Giulia holds a Bachelor's degree in Global Business Management and is a skilled business development representative. She's dedicated to building strong partnerships and leveraging technology to drive growth for organisations.

Maddy Clements

Maddy Clements

Data Science Consultant

Maddy is skilled in research and communicating technical concepts across many domains with several years experience in computational engineering. She holds a Bachelor's and Master's degree in Engineering Science.

Leon Watson

Leon Watson

Senior Data Scientist

Experienced in building end-to-end data science products incorporating machine learning, reinforcement learning, and NLP. Plus, a wealth of data-driven expertise spanning finance, music, and technology industries.

Snehan Sighat

Snehan Sighat

Senior Data Scientist

Snehan has experience in implementing ML within the defence sector, specialising in applying RL to the cyber-domain and developing NLP-based tools for workflow automation. He holds an MSci in Theoretical Physics.

Rob Foster

Rob Foster

Python Developer

Rob holds a BA in Linguistics. He has experience in building chatbots and digital agents for large organisations in the banking, retail and healthcare sectors.

Sarah Davies

Sarah Davies

Executive Assistant

Sarah has 5 years experience in Executive Support, including involvement in implementing policies such as Diversity & Inclusion. She holds a First Class Honours Degree in the Arts.

Helen Yeung

Helen Yeung

Data Scientist

Helen holds an MSc in data science and a background in pharmaceutical sciences. She has experience building machine learning models across various industries, using her skills to drive innovation and efficiency.

Sylvain Rama

Sylvain Rama

Senior Data Scientist

Sylvain is a former neuroscientist specialised in Digital Signal Processing and functional imaging. After working many years in Academia, he transitioned to Data Science where he brings a solid knowledge in statistics, time series and computer vision.

Nicholas Rawitscher Torres

Nicholas Rawitscher Torres

Senior Software Engineer

Nicholas is an accomplished software engineer with a diverse background spanning multiple industries and technologies. He is experienced in multi-platform development, building applications for both cloud and desktop environments.

Alberto Montemiglio

Alberto Montemiglio

Data Scientist

Alberto is experienced in data science, digital twins, design processes and human factors. He holds a first-class Design Engineering master's from Imperial College London.

Bogdan Bija

Bogdan Bija

Senior Software Engineer

Bogdan has 8 years of software engineering experience, focusing on data processing, mathematical modelling and algorithm development within the Space Surveillance and Tracking domain. He holds a Master's degree in Aerospace Engineering.

Dan Woodhall

Dan Woodhall

Data Scientist

Dan is a skilled data scientist with an MSc in Robotics from Cranfield University, where he won the Course Director's Prize for Best Overall Performance. He specialises in machine learning, AI solutions, and engineering, with deep experience across the energy, defence, and government sectors.

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