Consultants Directory


We provide a Directory of Statistical Consultants listing our professionally qualified members who offer a statistical consultancy service. Professionally qualified members hold the status of Chartered Statistician (CStat).

The Directory contains profiles created by the consultants, including information on their specialisms and background as well as their contact details. It operates on an opt-in basis – each consultant has agreed to their profile being available on our public website. There are terms of reference covering the operation of the directory, to ensure it remains up to date.

Muhammad Faisal I offer consultancy services in health data science, specialising in epidemiology, statistical computing, and predictive modelling for clinical decision-making. With extensive experience in exploratory data analysis, multivariate analysis, and causal inference, I help organisations uncover meaningful insights from complex health data. My expertise also includes simulation techniques and statistical inference, ensuring robust and data-driven decision-making. Whether supporting research projects, developing clinical prediction models, or enhancing analytical workflows, I provide tailored guidance to meet specific needs. Worldwide
Gabriella Debreczeni People Analytics (including answering specific questions, e.g. 'What drives attrition?'). Statistical modelling, regression analysis. Survival Analysis methods in people data. Statistical programming in R. General statistical consulting. Worldwide

SA

Stephen Azeez Stephen Azeez is a Statistical Consultant specializing in applying advanced statistical methods to solve complex real-world problems across risk modeling, predictive analytics, and decision systems. His expertise includes exploratory data analysis, forecasting, non-parametric statistics, numerical analysis and optimization, expert systems, spatial statistics, statistical computing, and inference. With a focus on bridging quantitative techniques and business strategy, Stephen has delivered impactful solutions in financial services and technology sectors, developing robust models, scalable analytical frameworks, and actionable insights that drive informed decision-making. He also contributes to the field through publications, academic supervision, and peer review in AI and applied statistics. Worldwide
Albert Chau Clinical Trials, Drug Development, Phase I-IV Trials, Oncology, Cancer, Statistics, SAS Programming, CDISC, Data Management, Data Science, Survival Analysis Worldwide

CCP

Chris Chen, PhD Marketing Research, Sales & Marketing statistical analysis, Credit risk modeling Worldwide

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Giovanni Montana Machine learning, computer vision, medical imaging, deep reinforcement learning Worldwide

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Roland Caulcutt Six Sigma - I have trained thousands of blackbelts, greenbelts and managers and supported process improvement projects. Communication - I have run many courses to help data analysts communicate more effectively with managers and other clients. Worldwide
A Rosemary Tate Medical statistics and epidemiology. Machine learning and computer science. Analysis of electronic health records. Multivariate statistics and statistical pattern recognition. Analysis and design of surveys. DATA QUALITY, Data visualisation. Worldwide
Prof. Dr. Diego Kuonen, CStat PStat Statistical engineering, statistical thinking, statistics, analytics and data science, including artificial intelligence and machine learning. Worldwide

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Mihir Gandhi Expertise in oncology, child growth & development, and health-related quality of life studies, health economics/health service research
Kyle Gomez Europe

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Chris Naylor Expert systems; Bayesian inferencing using the XMaster expert system shell. Worldwide
Nana Owusu Mensah Essel

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Sabia Akram Psychometrics Educational Assessment Occupational Psychology Assessments SPSS Research Report writing Presenting UK
Piotr Fryzlewicz Statistics and data science consulting services in: statistical modelling and simulation; time series analysis including time series forecasting; predictive analytics including predictive regression modelling; statistical computing in R; statistical learning and machine learning including deep learning; change-point detection; high-dimensional statistical inference and dimension reduction; quantitative finance. Statistics and data science training courses in: general statistics and machine learning, predictive regression modelling, deep learning with R and Keras, time series analysis including forecasting, basic and advanced R, statistics in finance. (Please contact me if you are interested in a course on a topic not listed here.) Worldwide

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Thomas Brown Data Analysis, Lean Manufacturing, Optimisation Projects, Predictive Analytics, KPI Reporting, Six Sigma, Quality Control & Mapping, Programming, Process Modelling, Method Validation. UK
Dr Rhian Davies Reproducible Analytical Pipelines, Public Health, Quality Assurance of statistical models, R package development, R Shiny app development and deployment, R training Worldwide
Kevin Hon Yin Hau Scorecard, Linear / Logistics / Non-linear / Quantile regression, Automation, Time Series, Simulation, GLM, Survival Analysis, Risk Modelling, Pricing, Forecast, Data Cleansing, Experimental Design, Financial Modelling, Graphical Design, Erlang-C Model, Tree Decision, Random Forrest, AutoML Program: SAS, R, VBA, SQL, Tableau

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Samuel Bosomprah Biostatistics and Epidemiology
Lynsey Mccoll I am the Managing Director of Select Statistics. We work in partnership with our clients by combining statistical expertise with industry knowledge to extract actionable insights from data, improve decision making and drive business growth. We operate across a broad range of sectors and offer a wide variety of services that can all be tailored to meet your unique requirements. Our clients range from large international corporations and public sector bodies to SME’s and private individuals. Worldwide