Team

A research team for academic analysis work.

We bring together researchers and academics who each cover a different part of the research workflow, held to one shared standard for method fit, clarity, and confidentiality.

How team support works

Projects are routed by scope, method, software, and deadline.

Every request starts with an initial review, so the work lands with the right statistics, survey, manuscript, or software support, matched to the role that fits.

As a research team, we can pull in the researcher, academic, or analyst a project actually needs: for deeper method work, software output, manuscript revision, or a closer look at the survey design.

How routing works

Screen, match, review

Every request is reviewed first. We match the work to the right statistics, survey, manuscript, or software role, then run an internal review before delivery.

  • Review the topic, data status, deadline, and method fit.
  • Assign the analyst whose methods and software match the scope.
  • Run an internal review before client-facing delivery.

Team members

Researchers with distinct method strengths.

Portrait of Md Muhtasim Munif Fahim

Md Muhtasim Munif Fahim

Research Associate

Data Science Research Lab, Department of Statistics, University of Rajshahi

  • BSc & MSc in Statistics, University of Rajshahi

Expertise

Machine learning, predictive modelling, regression, multivariate analysis, survey research methods, and Python/R workflows.

Portrait of Md Jahid Hasan Imran

Md Jahid Hasan Imran

Research Associate

Data Science Research Lab, Department of Statistics, University of Rajshahi

  • BSc & MSc in Statistics, University of Rajshahi

Expertise

SEM, CFA, PLS-SEM, mediation, moderation, and multivariate modelling for thesis and survey-based research.

Portrait of Md. Naim Molla

Md. Naim Molla

Research Associate

Data Science Research Lab, Department of Statistics, University of Rajshahi

  • BSc in Statistics, University of Rajshahi

Expertise

Descriptive statistics, reliability analysis, regression, survey coding, and SPSS/Stata workflows for scoped thesis work.

Portrait of Open role

Open role

Available soon

Data Science Research Lab, Department of Statistics, University of Rajshahi

Profile available soon.

Portrait of Open role

Open role

Available soon

Data Science Research Lab, Department of Statistics, University of Rajshahi

Profile available soon.

Team roles

Different projects need different academic support.

Statistics and modeling reviewers

Regression, reliability, mediation and moderation, SEM/CFA/PLS where appropriate, model assumptions, estimation choices, and interpretation.

Survey and questionnaire specialists

Questionnaire logic, scale design, item coding, sampling limits, pilot feedback, and readiness checks before analysis.

Statistical reporting specialists

Methods language, table notes, stated limitations, and replies that a reviewer can follow.

Software workflow analysts

Delivery in R, Python, SPSS, Stata, or Excel, in the environment you can reopen and explain later.

Work with the team

Send the scope and we will review the fit.

Tell us the topic, where the data stands, the output you expect, any software requirement, and the deadline, and we will route it to the right person.

Request a review