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marissasinghh/README.md

💫 About Me:

👋 Hi, I’m Marissa.

Physics backbone. ML systems builder.

I turn messy data into optimized, reproducible pipelines — from raw acquisition to model evaluation. I care about rigor, structure, and performance.

Currently building multimodal ML systems, scalable data workflows, and projects that sit at the intersection of modeling, infrastructure, and impact.

If it's complex -- I'm in.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Python AWS Google Cloud FastAPI Flask OpenCV Streamlit Apache Airflow MongoDB MySQL Postgres Redis SQLite Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch TensorFlow Scipy scikit-learn CircleCI GitHub Actions Git GitHub Docker ESLint Postman Prettier

📊 GitHub Stats:



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  1. quantum-circuit-builder quantum-circuit-builder Public

    Monorepo for a quantum circuit builder prototype, including a backend API and a frontend web app. Users can build quantum circuits from scratch, run simulations, and compare outputs to target circu…

    TypeScript

  2. credit-default-modeling credit-default-modeling Public

    Binary classification pipeline for loan default prediction. Preprocessing, feature selection, LightGBM, ROC AUC evaluation.

    Jupyter Notebook

  3. data-pipeline-sqlite data-pipeline-sqlite Public

    ELT pipeline for e-commerce revenue and delivery analytics. Extract (CSV, API), load (SQLite), transform (SQL, pandas), visualizations, pytest validation.

    Jupyter Notebook

  4. image-classification-api image-classification-api Public

    Image classification API for 1,000+ categories. API (FastAPI, JWT), model (ResNet50, Redis queue), UI (Streamlit), PostgreSQL (users, feedback), Locust stress testing.

    Python