Empirical analysis for researchers

From raw data to publication-ready results.

DataCraft Research is a complete data-science partner for academics, graduate students, and research institutions. We handle the statistics, cleaning, modeling, and figures — so you can focus on the question that matters.

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90% money-back guarantee if not satisfied
200+
Projects delivered
40+
Peer-reviewed papers supported
15+
Disciplines served
98%
Client return rate
What we do

Services for the full research lifecycle.

Whether you have a dataset, a draft, or just a research question — we plug in where you need us.

Statistical Analysis & Modeling

Rigorous quantitative analysis tailored to your research design.

  • Regression (OLS, GLM, mixed-effects)
  • Time-series & panel data
  • Causal inference (DiD, IV, RDD)
  • Machine learning & predictive models

Data Cleaning & Processing

Turn messy, multi-source data into a clean analysis-ready dataset.

  • ETL pipelines & data wrangling
  • Large-dataset handling (10M+ rows)
  • Missing-data imputation
  • Reproducible scripts in R / Python / Stata

Survey Design & Analysis

Build instruments that capture what you actually want to measure.

  • Questionnaire design & validation
  • Sampling strategies & power analysis
  • Likert & latent-variable models
  • Cross-tabs, weighting & inference

Consulting & Publication Support

Methodology advice and journal-ready figures, tables, and writeups.

  • Pre-registration & methodology review
  • Reviewer-response support
  • Publication-quality figures
  • Reproducibility audits
Selected collaborators

Trusted by professors at leading universities.

Researchers we partner with across Asia, Europe, the Americas, and Oceania.

Hong Kong
The University of Hong KongHKU · Hong Kong
Hong Kong University of Science and TechnologyHKUST · Hong Kong
The Chinese University of Hong KongCUHK · Hong Kong
The Hong Kong Polytechnic UniversityPolyU · Hong Kong
City University of Hong KongCityU · Hong Kong
Hong Kong Baptist UniversityHKBU · Hong Kong
Singapore & Macau
National University of SingaporeNUS · Singapore
Nanyang Technological UniversityNTU · Singapore
Singapore Management UniversitySMU · Singapore
University of MacauUM · Macau
Macau University of Science and TechnologyMUST · Macau
Korea
Seoul National UniversitySNU · Korea
KAISTKorea
Yonsei UniversityKorea
Korea UniversityKorea
POSTECHKorea
Sungkyunkwan UniversitySKKU · Korea
Japan
The University of TokyoUTokyo · Japan
Kyoto UniversityJapan
Osaka UniversityJapan
Tohoku UniversityJapan
Keio UniversityJapan
Waseda UniversityJapan
China
Tsinghua UniversityChina
Peking UniversityPKU · China
Fudan UniversityChina
Zhejiang UniversityZJU · China
Shanghai Jiao Tong UniversitySJTU · China
Nanjing UniversityNJU · China
United Kingdom
University of OxfordUK
University of CambridgeUK
London School of EconomicsLSE · UK
Imperial College LondonUK
University College LondonUCL · UK
University of EdinburghUK
Continental Europe
ETH ZürichSwitzerland
EPFLSwitzerland
LMU MunichGermany
TU MunichTUM · Germany
Sciences PoFrance
TU DelftNetherlands
Bocconi UniversityItaly
KU LeuvenBelgium
Karolinska InstituteSweden
United States
Harvard UniversityUSA
MITUSA
Stanford UniversityUSA
UC BerkeleyUSA
Yale UniversityUSA
Princeton UniversityUSA
University of ChicagoUSA
Columbia UniversityUSA
University of PennsylvaniaPenn · USA
Cornell UniversityUSA
Johns Hopkins UniversityUSA
UCLAUSA
Canada
University of TorontoUofT · Canada
McGill UniversityCanada
University of British ColumbiaUBC · Canada
Australia & New Zealand
University of MelbourneAustralia
Australian National UniversityANU · Australia
University of SydneyUSyd · Australia
University of New South WalesUNSW · Australia
University of QueenslandUQ · Australia
University of AucklandNew Zealand
How we work

A clear, collaborative workflow.

We treat every engagement as a partnership — your domain knowledge plus our methodological rigor.

01

Consultation

A paid 1-hour consultation ($300) to deeply understand your data, methods, and constraints. The fee is credited back to you in full if you proceed with a project.

02

Proposal

A written plan with methods, deliverables, milestones, and a fixed quote.

03

Execution

Weekly check-ins, version-controlled code, and full audit trail of every decision.

04

Delivery

Reproducible scripts, clean datasets, figures, and a writeup ready for review.

Why DataCraft

Built by researchers, for researchers.

Our team blends doctoral-level methodologists with senior data engineers. We've supported work in economics, public health, education, political science, psychology, and biology — and we speak your literature.

Every project is reproducible by default: version-controlled code, documented decisions, and deliverables you can hand straight to a journal or grant officer.

PhD-level statistical guidance — not just tooling.
Reproducible deliverables (Git, R Markdown, Quarto, Jupyter).
IRB-compliant data handling and secure storage.
Fixed-quote pricing — no surprise hourly bills.
90% money-back guarantee — if you are not satisfied, we refund 90% of the total fee.

Toolkit we work in

Statistical & analysis languages
RPythonStataSASSPSSMATLABJuliaEViewsGAUSS
Notebooks & literate computing
QuartoR MarkdownJupyterObservable
Databases & queries
SQLPostgreSQLBigQuerydbtDuckDB
Document & typesetting
LaTeXOverleafMarkdownPandocBibTeX
Version control & reproducibility
GitGitHubDockerrenvMake
Machine learning
PyTorchTensorFlowscikit-learnXGBoostHugging Face
Survey & qualitative
QualtricsREDCapSurveyMonkeyNVivoAtlas.tiMAXQDA
Research data platforms
WRDSCompustatCRSPIBESBloombergFREDRefinitivCapital IQ
Visualization
ggplot2matplotlibTableauD3.jsPlotly

Let's talk about your project.

Tell us a little about your research and we'll respond within one business day with next steps.

Response time
Within 1 business day
Working with
Researchers worldwide — remote-first

We'll never share your information. Begin with a $300 1-hour consultation — fully credited toward any project you proceed with.