Python
maaz7409Programming LanguagesUsed in 5 projects, 5 notebooks
General-purpose language; the default for ML and scientific work.
Used in
- Enterprise RAG System with LLM-as-a-Judge
Hybrid-retrieval RAG with an LLM judge that scores every answer for faithfulness, relevance and toxicity.
enterprise_rag.py · stack: Python
- E-Commerce Customer Churn Prediction
Stacking ensemble that predicts which e-commerce customers will churn, deployed with a live app.
churn_predictor.py · stack: Python
- Automated Email Classification Engine
SVM spam/ham classifier with custom parsing and zero train/test leakage.
email_classifier.py · stack: Python
- EHR Patient Readmission
Predicting 30-day hospital readmission from electronic health records.
ehr_readmission.py · stack: Python
- Amazon ML Challenge 2026
Team solution for business entity resolution, ranked 287 of ~25,000 teams.
amazon_ml_challenge.py · stack: Python
- Inverse Heat Transfer with PINNs
Recovering unknown heat flux and material properties with a physics-informed neural network.
heat_pinn.ipynb · notebook: Python
- CFD with Python
A fluid-flow solver written from scratch that shows Von Kármán vortex shedding.
karman_vortex_cfd.ipynb · notebook: Python
- Hamiltonian Neural Networks for a Spring-Mass System
A network that learns the Hamiltonian, compared with a baseline NN on accuracy and energy conservation.
hnn_spring_mass.ipynb · notebook: Python
- DeepONet Surrogate for 1D Diffusion
Learning the operator that maps a diffusion coefficient D(x) to the full solution u(x, t).
deeponet_diffusion.ipynb · notebook: Python
- SINDy vs. ISINDy on the Lorenz System
Recovering the Lorenz equations from data with sparse regression, and making it robust to noise.
lorenz_sindy.ipynb · notebook: Python