-
Data Scientist
A data scientist manipulates and processes data using data-oriented programming languages. A data scientist is an expert who combines statistical
-
Data Monetization
Traditional ways of data monetization have existed from decades. Marketing organizations buy market research reports while companies advertise based on
-
Competing and Blue Oceans
In today’s highly competitive environment every individual or organization has to first think about competing and possible blue oceans before
-
Business Engineering
We define Business Engineering as a process of developing and implementing creative solutions. This is achieved through scientific research methods
-
Information Architecture
We define information architecture as a process of creating systemic, structural, and orderly principles to make information work. It is
-
Systems & Process Development
A process is a set of activities that occur in a coordinated manner, either in parallel or one after another,
-
Data Synthesis
A Comprehensive Approach to Data-Driven Decision Making What is Data Synthesis? Data synthesis refers to the process of generating, managing,
-
Data Science Skills
Data Scientist | Self-Taught | Faculty Collaborator in Statistical Analysis | Trader Using Self-Made Ensemble Predictive Models As a self-taught
-
Business Management Consulting Services
Business Management Consulting Services Span Across Management Reporting & Documentation, B2B Sales Enablers & Direct Marketing Collateral, Procurement Research &
-
Work Product
Non-confidential indicative sample How stock prices fluctuate How stock prices fluctuate asks for the mechanism—the patterns, models, and mathematical processes
-
Detailed Curriculum Vitae
Ankit Gupta I currently work as an independent freelance research data analyst for PhD scholars, Medical doctors, professional researchers and
-
Academic Practice
My Academic Practice caters only to academic researchers namely post doctoral researchers and medical doctors who are pursuing research activities
-
Business Practice
My Business Practice caters only to Business / institutional / Organizational researchers namely retailers, distributors, wholesalers & C&Fs, Manufacturers, Influencers,
-
Practice Verticals
Independent freelancing professional data analyst, data scientist and statistician for data driven research by post doctoral researchers, medical doctors, professionals
-
Pricing Overview
At PhDStats Advisor, I offer four tiered packages to suit different research needs—from basic descriptive analysis to comprehensive predictive modeling.
-
My Services
At PhDStats Advisor, I offer comprehensive statistical consulting and data analysis solutions (PhD research data analysis services) specifically tailored to
-
How to Hire Me
Hiring a PhD statistical consultant can greatly enhance your research, analysis, or data-driven projects. Their expertise in advanced statistics helps
-
Get in Touch
Use any of the methods below to contact me. Please note our preferred channels and business hours. Email | mail@ankitgupta.net.in
-
PhDStats Advisor
Meet the Statistician Er. Ankit Gupta (B.E. & P.G.D.M.), Founder & Principal ConsultantDehradun, Uttarakhand, India “My mandate is clear: deliver
-
Work Ethic
Way I Work Aggressive Attitude – Sometimes a problem requires an attack from all sides Strategic Thinking – Is like
-
Effective Data Collection in Research: Critical Considerations for Success
In scientific research, data collection is a crucial step toward achieving valid and reliable conclusions. While common methodologies, tools, and
-
Research Design : strategy for Ph.D. scholars
Research design is a creative process rather than a research process and thus requires both theoretical knowledge and its application.
-
Research Types : strategy for Ph.D. scholars
As depicted in the figure above, I have described various types of research based on different categories, classes, groups, semantics
-
Research Methodology for PhD Scholars
As a PhD scholar in India, mastering research methodology is crucial for advancing your academic career. Research methodology encompasses a
-
Research Gap strategy for Ph.D. scholars
Target knowledge and population research gaps for your PhD By this time a PhD scholar would already have done the
-
R versus Python versus C++ for Data Science
1. Early‑stage research & prototyping (Data‑scientist) Aspect R Python C++ Primary strength Rich statistical libraries, built‑in data frames, top‑tier visualization
-
Literature Search strategy for Ph.D. scholars
Conduct a rapid umbrella literature search for scoping and topic selection Objective of conducting a literature search at the stage
-
Topic Selection strategy for Ph.D. scholars
Data availability, research methodology and research gap are the three basic building blocks of any PhD research topic selection If
-
Critique: Shodhganga Shri Guru Ram Rai University (SGRRU) Patel Nagar Dehradun PhD Thesis
Shodhganga SGRRU Dehradun PhD thesis critique by PhDStats Advisor. Call +91 95575 61661 | Statistical analysis of research data for faculty.
-
Critique: Shodhganga PhD Thesis from Swami Rama Himalayan University (SRHU) Jolly Grant Dehradun
The overall data analysis health score for this PhD thesis evaluates to be -36%,. This PhD thesis does not attempt predictive or prescriptive analysis. Chapter-wise discussion is presented
-
Case Study: Lessons Learned & Best Practices from a Quasi-Experimental Educational Intervention
This case study shares key lessons from automating and refining a quasi‑experimental educational intervention analysis—covering data governance, pipeline automation, diagnostics, and stakeholder communication.
-
Case Study: Inferential Analysis in a Nursing Management PhD Thesis
This case study reviews chi‑square tests on staff awareness, knowledge, and training needs in public vs. private hospitals—key insights for Nursing Management PhD research.
-
Case Study: Multi-Stage Likert‑Scale Transformation for Robust Categorical Analysis
Discover a multi‑stage approach for transforming 5‑point Likert responses into reliable categorical outcomes—complete with validation checks and R implementation tips.
-
Case Study: Automating the Analytical Workflow for a Quasi-Experimental Educational Intervention Using R & Excel
Discover a case study showing how R and Excel VBA were combined to automate data ingestion, dashboard creation, inferential testing, and reproducible reporting in a quasi-experimental PhD project.
-
Case Study: “What If” Scenario Analyses for Likert-Scale Data in a Public Health Dissertation
This case study explores three “What If” sensitivity analyses on Likert-scale data in a Public Health dissertation—covering threshold effects, continuous modeling, and implications for research validity.
-
Case Study: Building a Reliable Analytics Framework for Hybrid Instruction Research
This case study shows how a centralized, automated, and audit-ready analytics framework supported hybrid instruction research—covering dashboards, diagnostics, and stakeholder reports.
-
Case Study: Demographic Drivers of Online Open Course Adoption Among High-Performing Undergraduates
This case study analyzes how student demographics shape motivations for adopting online open courses. Key findings reveal age, gender, and program-specific insights for better course targeting.
-
Case Study: Likert Scale Transformation & Analysis in a Public Health Dissertation
Explore a case study on transforming and analyzing Likert scale data in a Public Health PhD dissertation—from response collapsing to hypothesis testing with categorical outcomes.
-
Case Study: End-to-End Automation of Survey Analytics for Hybrid Instruction
Learn how a PhD scholar automated survey data processing—from ingestion to reporting—using Excel VBA, R scripts, and GitHub CI for a large-scale hybrid instruction study.
-
Case Study: “What If” Scenario Analysis for a Quasi-Experimental Educational Intervention
This case study showcases how “What If” scenario analysis using R can improve the impact and scalability of quasi-experimental educational interventions in PhD research.
-
Case Study: Lessons Learned & Best Practices from Likert-Scale Analysis in a Public Health Dissertation
Explore key lessons from a public health dissertation using Likert-scale analysis—covering scale transformation, composite reliability, stakeholder reporting, and audit-ready workflows.
-
Data Collection for Faculty–PhD Scholars: Minimizing Fieldwork, Maximizing Feasibility
Data collection doesn’t need to derail your semester. This guide shows faculty–PhD scholars how to choose feasible methods, minimize fieldwork, and stay ethical and efficient.
-
Research Design for Faculty–PhD Scholars: Aligning Academic Rigor with Real-World Schedules
Not all research designs are feasible for faculty–PhD scholars. Learn how to choose one that matches your research goals, workload, ethics constraints, and time blocks.
-
Choosing Between Research Types: A Time-Aware Framework for Faculty–PhD Scholars
Not all research types suit the busy life of a faculty–PhD scholar. This guide helps you select the right approach—based on time, data access, and ethics workload.
-
Choosing Your Research Methodology: A Time-Savvy Guide for Faculty–PhD Scholars
Select a research methodology that fits your data, tools, and time as a teaching-focused PhD scholar. This practical guide helps you plan without compromising academic rigor.
-
Scoping Your Research Gap Without Derailing Your Faculty Duties
Use this fast, structured approach to identify a stakeholder-relevant research gap—while managing your full faculty workload as a PhD scholar.
-
Rapid Literature Search: Scoping Your PhD Topic Efficiently
Need to identify a research gap without derailing your teaching schedule? Use this structured, time-efficient literature search strategy to refine your PhD topic quickly.
-
Data-Driven Topic Selection for Teaching-Focused PhD Scholars
Too busy teaching to chase a complex dissertation idea? Use this practical, data-first approach to select a high-impact, time-efficient PhD topic tailored for Indian faculty-scholars.
-
Managing Dual Roles: Department Head + Doctoral Candidate
Serving as both Department Head and PhD student creates ethical tensions. This guide outlines how to delegate, disclose, and document your dual roles transparently.
-
When Your Research Subjects Are Your Own Students: Ethical Safeguards
Learn why researching your own students raises ethical concerns and how to safeguard autonomy with alternative recruitment methods and IRB-ready consent scripts.
-
Academic Juggling: Time-Blocking Strategies for Faculty–PhD Students
Discover how faculty–PhD students can use time-blocking to protect writing time, reduce context-switching, and make steady dissertation progress—even during busy semesters.
-
Micro-Writing: Producing Publishable Snippets in 30 Minutes a Day
Discover how micro-writing can help busy PhD researchers produce publishable snippets in just 30 minutes a day. Build habits, beat writer’s block, and finish chapters faster.
-
Implementing Access Audits & Audit Trails in Your Analysis Pipeline
Learn how to implement access audits and audit trails in your analysis pipeline using Git hooks, database logs, dashboards, and automated compliance reports.
-
Building an Encrypted Data Vault for Sensitive Research
Learn step‑by‑step how to set up an encrypted data vault to protect confidential research data, automate secure backups, and integrate decryption keys into reproducible workflows.
-
Case Study: Sensitivity Analyses for Threshold Effects in Categorical Engagement
Purpose Likert scale what if analysis was used to gauge how definitional choices for “High Intent” impact conclusions, three scenario
-
Case Study: Automating Likert-Scale Data Transformation & Analysis in a Public Health Dissertation
This case study shows how R scripts and Excel VBA macros automate Likert‑scale data collapsing, dashboard creation, and inferential tests—ensuring reproducible, audit‑ready workflows.
-
Case Study: Inferential Analysis in an Educational Psychology PhD Thesis
In this educational psychology case study, a PhD project used chi‑square tests, paired t‑tests, and repeated measures ANOVA to evaluate an intervention’s impact on children’s and adolescents’ knowledge and attitudes—demonstrating both immediate effectiveness and long‑term stability.
-
Case Study: Integrative Inferential Methods in a Quasi-Experimental PhD Study
In this quasi‑experimental PhD study, chi‑square, paired t‑tests, repeated ANOVA, correlation, and t‑tests evaluated intervention effects on knowledge and attitudes.
