Hi! I’m Kashifa — a life sciences grad who ran away from pipettes and fell into Python.
Now I’m learning bioinformatics the fun way: one dataset, one bug, and one YouTube crash course at a time.

• Make sense of giant gene expression files
• Play with ML models to find patterns in omics data
• Turn confusing biological data into pretty plots
• Learn new tools faster than I forget old ones

Python • pandas • matplotlib • bokeh
Jupyter Notebooks • seaborn • scikit-learn • CTRL+Z (my best friend) ...and a healthy fear of conda environments

Learning mostly from:

• Free online resources
• Other people’s GitHub repos, stackoverflow, documentation
• An unhealthy number of open tabs
• Trial, error, and accidental breakthroughs
• A lot of curiosity and late-night problem-solving

• AI-Powered Genomic Risk Scoring
• Trying to predict cancer subtypes using ML
• Keeping my files organized

• 100% self-taught (and proud!)
• My debugging process:
  1. Panic
  2. Google
  3. Fix it
  4. Forget how I fixed it

• My pipelines are powered by tea and determination
• Most used file name: final_final_REALLY_final_thisTime.ipynb
• Code now, understand later™

If you're:

• Learning bioinformatics from scratch
• Into coding, omics, or science memes
• Also figuring it out as you go...

Say hi! Let’s learn, build, and maybe accidentally train a good model together.

“No formal training. Just vibes, curiosity, and a lot of Google.”