Data analysis and scientific writing are two sides of the same coin – analysis generates findings, writing communicates them effectively. I support students through both stages.

Data Analysis
Quantitative: Cleaning data, running descriptive and inferential statistics (t-tests, ANOVA, chi-square, correlation, regression) using SPSS or Epi‑Info, and interpreting outputs for your research questions.
Qualitative: Thematic, framework, or content analysis using Atlas.ti or MaxQDA – from coding to theme development and interpretation.
Mixed methods: Integrating quantitative and qualitative findings using joint displays or narrative synthesis.

Scientific Writing
Structuring manuscripts for journals or theses (IMRaD for quantitative, thematic for qualitative). Writing clear methods, results, and discussion sections – including limitations and implications.
Presenting data effectively: tables, figures, quotes, and participant vignettes.
Revising drafts for clarity, coherence, and journal/committee guidelines.

With over 23 years of experience and multiple peer-reviewed publications, I help you move from raw data to a polished, publication‑ready manuscript – whether for a PhD thesis, Master's dissertation, or journal article