Professional research analytics support for researchers, institutions, organizations and research teams across Bangladesh and internationally. Services are designed around the research problem, not the number of statistical or machine learning techniques used.
I provide research-focused statistical and data science consulting across quantitative research, public health, epidemiology, machine learning, spatial analytics and reproducible research workflows.
The service is scope based. Clients do not need to decide whether they need Random Forest, XGBoost, regression, SHAP, Bayesian modelling or another technique before contacting me. The analytical strategy can be developed according to the research question, data structure and project objectives.
A project may require one model, several competing models, multiple statistical methods or several analytical stages. Pricing is therefore determined by the overall project scope, data complexity, analytical objectives, deliverables and timeline rather than by the number of techniques used.
Research design, statistical methodology, hypothesis testing, regression, model selection and interpretation.
Data preparation, exploratory analysis, statistical summaries, publication-ready visualization and analytical interpretation.
Predictive modelling, model comparison, validation, feature selection, performance evaluation and interpretation.
SHAP, feature importance, model interpretation, explainability workflows and research-oriented visual interpretation.
GIS analysis, disease mapping, spatial statistics, spatial modelling and epidemiological prediction workflows.
Research question development, analytical planning, methodology consultation and reproducible research strategy.
The displayed amounts are starting prices, not fixed prices. Final quotations consider dataset size, data quality, research objectives, analytical complexity, number of deliverables, reporting requirements and timeline. A project involving several simple analyses may cost less than a project involving one highly complex analytical workflow.
You do not need to know which statistical or machine learning technique is required. Share your research objective, dataset information and expected outcome. The appropriate analytical strategy and project quotation can then be discussed.
In addition to commercial research consulting, I contribute to academic publishing through peer review. I have reviewed manuscripts covering machine learning, public health, epidemiology, digital health, statistical methodology and quantitative research for international journals.
Alongside commercial consulting, I remain active in academic research and scholarly contribution.