I will create publication quality data visualizations in python and r

J
jonathan_javid
J
jonathan_javid
Jonathan Javid
create publication quality data visualizations in python and r
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create publication quality data visualizations in python and r

About this gig

Your data deserves better than default Excel charts. I will turn your spreadsheet into clear, publication-ready visualizations that reviewers, managers and readers actually understand.


I am a bioinformatics researcher (MS, NUST) and health data analyst. Data visualization is core to my published work: 3 peer-reviewed papers, figures for a 62,582-variant genomic benchmark, and statistical dashboards for health insurance operations at State Life Insurance Corporation. I work in R (ggplot2) and Python (matplotlib, seaborn), with Tableau available on request.


WHAT YOU GET

- The right chart for your data and message: bar, line, scatter, box, violin, heatmap, forest plots, volcano plots and more

- Clean, consistent styling: fonts, colours and labels matched across every figure

- Journal-ready output in PNG, PDF and (Premium) editable SVG/EPS at print resolution

- Honest advice if a chart type would mislead I will suggest a better one instead of just drawing it


Send your data as Excel or CSV. Message me before ordering if you need a full dashboard or an unusual format, and I will quote honestly.

  • Tool

    • Python

  • Chart type

    • Comparison
    • Distribution
    • Overtime
    • Patterns
    • Relationship

Get to know Jonathan Javid

Jonathan Javid

Bioinformatics Researcher, Variant Interpretation, Python, R, Machine Learning

  • FromPakistan
  • Member sinceNov 2026
  • Avg. response time1 hour

  • Languages

    Urdu, Punjabi, English
Bioinformatics researcher (MS, NUST) and health data analyst specialising in genomic variant interpretation, Python/R analysis and biostatistics. I built PakVEP-AI, a 62,582-variant ClinVar benchmark using AlphaMissense and gnomAD (manuscript under consideration at the European Journal of Human Genetics). Author of 3 peer-reviewed papers and 2 Amazon books on AI in computational biology. I help researchers with variant annotation, statistical analysis, literature reviews and publication-ready reports: accurate, documented, on time.

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