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I will write premium research articles

H
haris1991
H
haris1991
haris1991

About this gig

Need a research article thats crystal-clear, credible, and ready to publish? Ill research authoritative sources, synthesize insights, and deliver a polished, citation-perfect manuscript. Im comfortable with APA, MLA, Chicago, IEEE & Harvard; qualitative/quantitative; and topics across business, tech, health, social sciences, and policy.

What youll get

  • Deep research using peer-reviewed journals, books, reputable reports
  • Clear structure: abstract intro methods (if applicable) analysis discussion conclusion
  • Proper in-text citations + reference list (APA/MLA/Chicago/IEEE/Harvard)
  • Turnitin-safe, plagiarism-free writing (100% original)
  • Professional formatting (headings, tables, figures, TOC if required)

Specialties

  • Literature reviews (narrative/scoping/systematicnon-PRISMA by default)
  • Whitepapers & policy briefs
  • Methodology write-ups & results interpretation (you provide raw data or brief)
  • Editing & rewriting for clarity and cohesion
  • Journal-style formatting and submission prep

Why me

  • Research-first approach, not generic rewording
  • Fast communication and structured milestones
  • Transparent sources and notes handed over with the draft
Delivery style preference

Please inform the freelancer of any preferences or concerns regarding the use of AI tools in the completion and/or delivery of your order.

Get to know haris1991

haris1991

Quality you can measure

4.8(12)
  • FromPakistan
  • Member sinceApr 2016
  • Languages

    English
Hi, I’m Haris—I turn complex data into clear decisions and publish-ready writing. I build machine learning / deep learning models for prediction & classification and craft research articles that are insightful, well-cited, and reviewer-friendly. What I do Prediction & classification: EDA, feature engineering, model training/tuning (AUC/F1/Recall), cross-validation, error analysis Deep learning: CNNs, RNN/LSTM/GRU, Transformers, transfer learning, fine-tuning End-to-end ML: data cleaning, pipelines, explainability (SHAP/LIME), deployment-ready notebooks/APIs Research writing: literature re