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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.
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TB

 Thomas Brown Data Analysis, Lean Manufacturing, Optimisation Projects, Predictive Analytics, KPI Reporting, Six Sigma, Quality Control & Mapping, Programming, Process Modelling, Method Validation.

KG

 Kerry Gordon Drug development, clinical trials

RC

 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

IH

 Ian Hunt

CC

 Cyril Connolly Data Visualisation Exploratory Data Analysis Statistical Process Control

YBC

 Yin Bun Cheung Clinical trials, epidemiology, patient-reported outcomes

OO

 Olusanya Olubusoye My area of specialization is econometric analysis and macroeconometric modelling. I have proficiency in formulating models for policy analysis, simulations and forecasting using popular packages like EViews, TSP and Stata.
Prof. Dr. Brijesh Sathian Epidemiology, Bio-statistics, Statistical Modelling Worldwide

AP

 Aura Popa • Data science and advanced analytics technical applications offering bespoke data driven solutions to Market Research industry (Data Validation and Cleaning, Data Processing and Reporting, Basic Statistics, TURF Analysis, Key drivers analysis, Text Analytics, Spatial Statistics, Brand Mapping, Data Reduction, Decision Trees, Optimum Price Modelling, Data Visualisation, RFM Analysis, Customer Segmentation, Predictive analytics, Multichoice Discrete Models (MaxDiff, Conjoint)) • Customed Tailored Dashboards to answer your company needs • Customed Tailored Training to answer your employees needs in Basic Stats, SPSS, Excel

KM

 Kevin Mcconway Application areas include ecology (particularly plant ecology), health (particularly observational projects), media. Software experience: R, GenStat, SPSS, Minitab. Worldwide

JC

 Jonathan Cook Design and analysis of clinical trials including sample size calculations. Expertise in surgical research. Presenting statistical evidence to lay audiences and to groups with varying levels of expertise in the subject matter.

MW

 Melanie Wakelin I mainly work in medical research and have considerable experience in the design and analysis of clinical trials. My involvement in study design and analysis includes trials of medical devices, pharmaceutical products and non-pharmaceutical interventions in primary care. I have been involved in a large number of trials in the areas of women's health and dermatology. Outside of clinical research I also provide consultancy services in relation to non-clinical research and in particular assay development and validation. I have a strong academic background in biology as well as statistics and find that this helps me to rapidly understand the non-statistical aspects as well as the statistical issues in any proposed studies. I have developed and delivered a number of training courses to non-statisticians (scientists in industry and NHS). UK

DK

 Dennis Kunimura Actuarial, Financial, Machine Learning, R Programming, Statistical training

TW

 Tony Ward I work with any business that recognises the potential value of the data they hold; I am experienced in many industries including insurance, gaming, retail and financial services. Specialisms include * Unstructured Text Analytics (Topic Modelling) * Product Pricing * Marketing Analytics * Machine Learning * Data Science Worldwide

HYH

 Hon Yin Hau Scorecard, Information Value, Weight of Evidence, 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 Program: SAS, R, VBA, SQL, Tableau Worldwide

DF

 David Fox Through Environmetrics Australia, Professor Fox and associates are able to provide unparalleled statistical consulting and training services including, but not limited to: * advanced mathematical and statistical modelling; * R-programming; * customised 'R-Apps' for mobile devices; * large-scale data collection and processing tools; * Tailor-made statistics short courses from elementary to post-graduate. Worldwide

TW

 Timothy Wong Machine Learning, Time Series, Spark MLlib, Hadoop

AB

 Anthony Bendell Change Management, Six Sigma, Lean Six Sigma, ISO18404, Governance & Enterprise Risk Management (ERM), Developing Anti-Fragile Organisations, Organizational Excellence (including the EFQM Excellence Model), Strategy, Leadership, Quality Assurance, Quality Management and Lean Operations, Public Sector development and reform, Benchmarking, Reliability Analysis, Expectation Influenced Probability. Worldwide
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

APDM

 Anne Pinot De Moira I have a very strong background in statistics. I have first-hand experience of both qualitative and quantitative research. I have analysed data using parametric and non-parametric statistics, using sophisticated models but also using graphical representation to simplify findings. I regularly deal with data extracted from large datasets, collected by experimental design and resulting from questionnaires. In the context of my assessment and education research, I have considered a diverse range of issues relating to standards, the design of mark schemes, the identification of errant examiners, learner approaches and marking reliability. I maintain a keen interest in new developments in the field of statistics but regard the communication of statistical analyses as my greatest strength.