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istaawoo/README.md

Hello World, I'm Romaan

Incoming CS student at Purdue. I got into code through competitive robotics. Specifically, through my four years as the lead programmer on Vex robotics team 7701X, writing our autonomous routines in C++.

Lately I've been experimenting with a few quantitative finance tools, some Streamlit apps here and there. Enjoy turning fuzzy things like "how risky is this" into real numbers.

Stack: C++, Streamlit, Git, Python

stuff I've shipped:

find me on LinkedIn

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  1. Plazma17/EZ-Template Plazma17/EZ-Template Public

    C++

  2. behavioral-risk-assessment behavioral-risk-assessment Public

    Streamlit app that gauges an investor's risk appetite and a portfolio's risk profile, with an LLM-assisted analysis layer.

    Python

  3. Comprehensive-Minimum-Risk-and-Risk-Capacity-Estimation-Formula-Using-Quantitative-Metrics Comprehensive-Minimum-Risk-and-Risk-Capacity-Estimation-Formula-Using-Quantitative-Metrics Public

    Estimates an investor's minimum-risk allocation and overall risk capacity from quantitative inputs.

    Python

  4. Sector-Analysis-Wharton Sector-Analysis-Wharton Public

    PRISM: a Streamlit app that scores countries and sectors for investment using a custom weighted methodology on yFinance data.

    Python

  5. Systematic-Quantitative-Asset-Risk-Evaluator_SQuARE Systematic-Quantitative-Asset-Risk-Evaluator_SQuARE Public

    SQuARE: a stock analyzer that scores a ticker on quantitative and qualitative metrics via yFinance.

    Python