Biplab Paul, Data Science and Analytics Expert

Biplab Paul

Data science & analytics lead · PhD Scholar Desk research support

With expertise in machine learning, statistical analysis and data visualisation, Biplab Paul helps researchers turn complex data into meaningful insights. He is proficient in SPSS, Power BI, Tableau, Python and R, and supports quantitative research, predictive modelling and hypothesis testing across a wide range of academic disciplines.

About Biplab Paul

Discuss research data analysis, statistical interpretation and visual presentation requirements with the team. The scope should be matched to your research question, available data and institutional guidance.

He works closely with students, scholars and research teams across disciplines, from business and economics to healthcare and engineering, helping them design sound methodologies, run accurate statistical tests and present findings that hold up to scrutiny. His day-to-day work covers the full analytics pipeline: cleaning and structuring datasets, choosing the right statistical or machine learning approach, building predictive models, and turning results into clear dashboards and reports for reviewers and stakeholders.

Whether the task is a single regression model for a dissertation chapter or a full analytics workflow for a research project, his approach stays the same: understand the question first, then let the data and the method answer it, clearly, accurately and reproducibly.

Areas of expertise

Quantitative research support

Hypothesis testing, regression analysis, ANOVA and other inferential statistics for theses, dissertations and journal submissions.

Machine learning & predictive modelling

Supervised learning (regression and classification) applied to real-world and academic datasets.

Data visualisation & BI

Dashboards in Power BI and Tableau that make complex results easy to interpret at a glance.

Survey & questionnaire analysis

From data cleaning to reliability testing and interpretation.

SPSSPythonRPower BITableauMachine learningSmartPLSNVivo

Credentials

Supervised Machine Learning

Certified by DeepLearning.AI and Stanford Online.

Advanced SPSS statistical modelling

Advanced certification in regression, hypothesis testing and data interpretation.

Tableau Essential Training

Completed through LinkedIn Learning.

SmartPLS 4 certified

Specialises in PLS-SEM for structural model building and construct validation.

NVivo 13 training

Completed the “From Zero to NVivo 13” course in qualitative data analysis and thematic coding.

Published research

IJFMR · Vol. 8, Issue 4 (July–August 2026)

Lead author

The Role of Comparative Genomic Bioinformatics in Predicting and Managing Wheat Rust Disease in Wheat Crops: A Multi-Omics Approach

Paper ID 86795 · DOI 10.36948/ijfmr.2026.v08i04.86795

IJNRD · Vol. 11, Issue 9 (September 2026)

Co-author

Explainable Machine Learning Identification of Biological Profiles Associated with Poliovirus Neutralizing Antibody Seronegativity: A Population-Based NHANES Study

Paper ID IJNRD2609165 · Registration ID 328506

Work with Biplab

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