I will create data visualizations and scientific infographics from your data

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Sarwan A.
Parte de la información aparece en idioma inglés.

Acerca de este Servicio

I turn raw results into clear, publication-ready figures and infographics.


What you get:

Charts built from your CSV, Excel or SPSS output: bar, line, box, scatter, heatmap, Kaplan-Meier, forest and ROC

Multi-panel figures with consistent fonts, colours and axis labels

Infographics and one-page summaries that explain a study or dataset to a non-technical audience

Conference poster and presentation graphics

Delivered as high-resolution PNG, PDF, JPG and editable PPT


Figures are produced in Python (matplotlib, seaborn, plotly) or R (ggplot2), so they are reproducible and quick to regenerate when your data changes. Colour-blind-safe palettes and journal size and resolution requirements are followed on request.


I hold a PhD in Computer Science and have authored more than 60 peer-reviewed publications, so I know what a figure needs to survive review.


Send me your data or draft charts with the message you want the figure to convey, and I will confirm the scope before you order.

Preferencia de estilo de entrega

Informa al freelancer cualquier preferencia o inquietud que tengas con respecto al uso de herramientas de IA en la finalización y/o entrega de tu pedido.

Conoce a Sarwan A.

Sarwan A.

PhD Data Scientist, Machine Learning, AI and Bioinformatics Expert

4.1(5)
  • DeEstados Unidos
  • Miembro desdenov 2016
  • Última entrega8 años
  • Idiomas

    Inglés
PhD Data Scientist and ML researcher in AI, bioinformatics and genomics. PhD in Computer Science (Georgia State University); Postdoctoral Research Scientist at Columbia University Irving Medical Center; 60+ peer-reviewed publications on arXiv and at IEEE TCBB, PAKDD, CIKM and CHIL. Services: machine learning and deep learning; bioinformatics and genomics (sequence analysis, GWAS, embeddings); biostatistics; end-to-end data science pipelines; scientific writing, manuscript editing and AI/LLM response evaluation. Python, R, MATLAB, Java, C++, PyTorch, scikit-learn. Accurate, reproducible work.

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