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Learning a little every day
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Learning a little every day
  • Arizona

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sirmonsoon/README.md

Mridul Waldia

B.S. in Computer Science @ ASU. Interested in Backend Systems, APIs, Machine Learning, and Cybersecurity.

Projects

  • Personal Finance API (Flask + SQLite)
  • Machine Learning Fraud Detection (Pandas, Scikit-Learn, Classification, Threshold-Tuning)
  • Project 3

Skills

Python, C++, SQL, Flask, Git

Currently Working On

  • Backend development
  • DSA fundamentals

Contact

[linkedin.com/in/mridulwaldia]

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  1. personal-finance-api personal-finance-api Public

    Flask REST API for tracking personal finance transactions with CRUD fundamentals

    Python 1

  2. fraud-detection-ml fraud-detection-ml Public

    Machine learning fraud detection system using tabular transaction data. Explores class imbalance, precision-recall tradeoffs, and threshold tuning to optimize real-world performance.

    Jupyter Notebook 1