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rushammm/README.md

rusham elahi

cs grad · ml · geo · ships code

linkedin · email · portfolio · dblp

projects

healthcare access in south asia — ml research on healthcare infrastructure gaps across south asia, published at ICONIP 2024 (CORE A) · paper

locatepro — predicts business location suitability using xgboost + satellite imagery (sentinel-1, landsat, google earth engine) · live

flood impact analysis — mapped 442,000 km² of flood inundation using sentinel-1 SAR, detected infrastructure damage with yolov5

placify — internship management platform (t3 stack) connecting students, companies & universities

tools i use

python typescript javascript sql next.js react node.js tailwind scikit-learn tensorflow pytorch xgboost pandas numpy google earth engine qgis postgresql git

currently

freelancing · learning ml from scratch

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  1. ML-inDepth ML-inDepth Public

    ML algorithms implemented from scratch in Python, with small projects for better understanding.

    Jupyter Notebook 1

  2. Healthcare-Resource-Predictor Healthcare-Resource-Predictor Public

    Predicts a country's WHO Universal Health Coverage level (Low/Medium/High) from workforce and infrastructure data. Decision Tree, Random Forest, and Gradient Boosting built from scratch in NumPy

    Jupyter Notebook 1