14° NPAKISTAN
About
I started with spreadsheets. Cleaning data, spotting patterns, asking "why does this number move." That curiosity is what pulled me toward machine learning — I wanted to know not just what happened, but what happens next.
I'm not interested in shortcuts to a title. I'm interested in understanding things properly — from a Pandas dataframe to a convolutional neural network — and being honest about what I don't know yet.
Right now that means daily practice: real datasets, real mistakes, real notes on what I learn. The portfolio you're looking at is itself a running log of that process.
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Core disciplines in progress
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Years old — and counting
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% self-directed learning
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Long-term direction: Data Science