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Meghanaguvvala53/Readme.md

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👋 Hey, I'm Meghana

Five years in finance, split between Goldman Sachs (FP&A, forecasting, executive reporting) and Morgan Stanley (investment banking, wealth management, KPI dashboards). I spend most of my time turning messy data into financial models people actually trust, and automating the reports nobody wants to run by hand.

On GitHub you'll find Python tools for financial analysis, forecasting models, and a few dashboards that started as weekend experiments and turned into something useful.

🛠 what I work with

Python SQL Pandas NumPy Power BI Tableau Excel Snowflake

📬 connect

LinkedIn Email

"In God we trust. All others must bring data." - W. Edwards Deming

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  1. financial-planning-dashboard financial-planning-dashboard Public

    FP&A dashboard with budget vs actuals, variance analysis, rolling 12-month forecast, waterfall bridge, and Excel export. Built in Python.

    Python 1

  2. kpi-reporting-pipeline kpi-reporting-pipeline Public

    Automated KPI reporting pipeline - SQL metric views, Plotly dashboard, Excel report, and weekly email digest. Built on DuckDB + Python.

    Python 1

  3. Portfolio-Risk-Analyzer Portfolio-Risk-Analyzer Public

    Portfolio risk analysis: Sharpe ratio, VaR, CVaR, Monte Carlo simulation, correlation heatmap. Python + SQL (DuckDB) + R for statistical testing.

    Python 1

  4. Revenue-forecasting-ml Revenue-forecasting-ml Public

    Revenue forecasting with ARIMA, Prophet, and XGBoost. Walk-forward validation for honest out-of-sample accuracy. 12-month projections with confidence intervals.

    Python 1