Every analysis we deliver is done by a named, qualified statistician — not an anonymous marketplace. Between them, our team covers biostatistics, econometrics, psychometrics, epidemiology and machine learning, and has supported academic, healthcare and organisational research for well over a decade each.
Hafiz Ahmad Tariq
Hafiz is a senior biostatistician with over 15 years of experience providing advanced statistical support for academic, healthcare and multidisciplinary research. He specialises in experimental design, predictive modelling, survival analysis, Bayesian statistics, multilevel modelling and structural equation modelling, and has contributed to numerous peer-reviewed publications in high-impact journals.
- Advanced regression & mixed-effects models
- Bayesian statistics
- Structural equation modelling (AMOS, SmartPLS, Mplus)
- Survival analysis & meta-analysis
- Machine learning & predictive analytics
- Missing-data imputation
Saad Tariq
Saad is a principal statistician with more than 12 years of experience in quantitative analysis, econometrics and applied data science. His work spans financial modelling, business analytics and social-science research, and he has extensive experience advising postgraduate researchers on robust statistical methodology.
- Econometrics
- Time-series forecasting
- Panel-data analysis
- Causal inference
- Generalised linear models
- Monte Carlo simulation & risk modelling
Sidra Khan
Sidra is a biostatistician with over a decade of experience supporting clinical trials, epidemiological studies and healthcare research. She works closely with multidisciplinary teams to design studies, perform advanced analyses and ensure compliance with international reporting standards, and has contributed to publications indexed in Scopus and Web of Science.
- Clinical-trial statistics
- Epidemiology
- Logistic regression & Cox models
- Longitudinal data analysis
- ROC & diagnostic-test accuracy
- Sample-size determination
Elaine Halliburton
Elaine is a statistician with more than 20 years of experience in statistical methodology, research design and quantitative modelling. She has supervised numerous doctoral candidates and served as a statistical reviewer for internationally recognised journals across medicine, psychology, education and engineering, and regularly provides methodological guidance for funded research.
- Advanced multivariate statistics
- Psychometrics & item response theory
- Confirmatory factor analysis & SEM
- Hierarchical linear modelling
- Mediation & moderation analysis
- Experimental design
Tara Sutaria
Tara is a senior statistical analyst specialising in advanced analytics and machine-learning applications for research and industry. With over 10 years of experience across healthcare, finance and education, she combines traditional statistical inference with modern machine-learning techniques to generate actionable insight from complex datasets.
- Machine learning & statistical learning
- Predictive modelling
- Data mining & feature engineering
- Classification & clustering
- Natural language processing
- Business intelligence
Work with our statisticians
Send us your data and questions. We’ll match you to the right specialist and reply with a fixed-price quote — usually within one working day, entirely by email.