Divyaneet K.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Oct 5, 2026.

📌 You'll get plagiarism-free and AI-free content with an official Turnitin report. ✨ 👋 Hi, I’m Dr. Divyaneet Kaur! I am an experienced academic researcher and writer with publications in Scopus-indexed journals. I specialize in Systematic Literature Reviews (SLR), bibliometric analysis, qualitative research (NVivo/ATLAS.ti) and quantitative analysis (Business Stats). Over the years, I’ve helped PhD and Master’s students worldwide produce high-quality, publication-ready work. ✨ What I Offer ✔ Dissertation & Thesis Chapters (Introduction, Literature Review, Methodology, Findings, Discussion) ✔ Research Proposals (for PhD, Master’s, or funding applications) ✔ Scientific Literature Reviews ✔ Bibliometric & Thematic Analysis (VOSviewer, NVivo, ATLAS.ti) ✔ Editing, Proofreading & Formatting for journal submission ✔ Reference management (APA, Harvard, MLA, IEEE, Vancouver, Nature, etc.) ✔ AI content removal ✔Plagiarism-free content, and I'll provide the complete report, which is 100% manual work. 💡 Why Work With Me? 🔹 Published Researcher – Authored peer-reviewed papers in Scopus and SSCI indexed journals 🔹 Research Experience – Strong background in academic writing, systematic reviews & data analysis 🔹 Quality & Precision – Every document is plagiarism-free, properly referenced, and academically sound 🔹 Tailored Support – I adapt to your specific university/journal guidelines 🔹 Collaboration – Clear communication and step-by-step guidance throughout your project 🛠 Skillset I Offer - Academic Writing & Editing - Systematic Literature Reviews (SLR) - Bibliometric Mapping (VOSviewer, Biblioshiny) - Qualitative Analysis (NVivo, ATLAS.ti) - Quantitative Analysis (SPSS, RStudio, STATA) - Dissertation/Thesis Structuring - Reference Management (EndNote, Mendeley, Zotero) 📊 Research & Data I ensure all research is: - Drawn from credible sources (Scopus, Web of Science, PubMed, Google Scholar) - Supported with data visualization (PRISMA diagrams, bibliometric maps, charts, tables) - Reproducible & Transparent (clear coding frameworks, citation tracking) - Ready for academic submission or journal publication