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tanigauns7/README.md

HOLA!!

  

I'm Tanisha , currently pursuing my Master’s in Applied Economics at the University of San Francisco. My journey is driven by curiosity—using data and econometric tools not just to find patterns, but to answer “what if” questions that matter. I work with Python (NumPy, Pandas, scikit-learn), SQL, Tableau, and Power BI to analyze data, while applying econometric techniques like Difference-in-Differences, Instrumental Variables, and Panel Data Models to uncover causal relationships. Along the way, I’m building a strong foundation in machine learning and data visualization, with the goal of turning complex evidence into insights that shape better decisions in business and policy.

Beside coding I love Music ♬ ₊.🎧 and Trekking 🧗‍♀️

Libraries:

BI Tools:

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  1. Gold-Price-Analysis-and-Economic-Impact Gold-Price-Analysis-and-Economic-Impact Public

    Analyzed economic forces affecting gold prices using OLS regression. Examined crude oil prices, interest rates, and USD-INR exchange rates to identify their impact. Investigated inter-variable rela…

    Jupyter Notebook 1

  2. Uber-Fare-Prediction- Uber-Fare-Prediction- Public

    Developed a machine learning model to predict Uber ride prices. Evaluated multiple regression models, including Linear Regression, Ridge, Lasso, ElasticNet, and Random Forest. Conducted comparative…

    Jupyter Notebook

  3. Rent_And_Walkability_New Rent_And_Walkability_New Public

    Forked from austin7384/Rent_And_Walkability_New

    Jupyter Notebook

  4. Impact-of-the-1981-Tax-Reform-on-Industry-Investment Impact-of-the-1981-Tax-Reform-on-Industry-Investment Public

    This project analyzes how the Economic Recovery Tax Act of 1981 affected investment in capital-intensive industries. Using Difference-in-Differences and Synthetic Control methods, the study compare…

    Jupyter Notebook