Description:
I can analyze your 16S rRNA sequencing data using Python and turn it into a clear, well-written article showing how the gut microbiome changes over time (e.g., across 1-month, 6-month, and 18-month time points).

What I offer:
Python-based data analysis of taxonomic abundance/OTU tables (pandas, data visualization with matplotlib/plotly, etc.)
Identification of trends across time points shifts in dominant taxa, diversity changes, abundance patterns
Clear charts/visualizations to support the findings
A well-structured, easy-to-understand article summarizing the results for [your target audience]

My background: Strong in Python-based data analysis, SQL, and working with structured datasets. I approach this from a data/analytics angle rather than as a trained microbiologist , I'm comfortable handling the numbers, trends, and technical writing, and happy to collaborate closely with you on the biological interpretation if needed.

Deliverables: Data analysis + visualizations + written article (length/format flexible based on your needs)

Turnaround: 2 -3 weeks