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Toolkit

The stack behind the numbers.

I choose tools based on the problem, not the hype. Everything below is battle-tested on real production and research work.

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Programming

PythonSQLJavaScriptRBash
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Data & analytics libraries

PandasNumPyPlotlyMatplotlibOpenPyXLstatsmodelsSciPy
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Application frameworks

FastAPIStreamlitNiceGUIPySide6Flask
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Databases

PostgreSQLSQLiteFirebaseRedis
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ML & forecasting

scikit-learnProphetSARIMAGLMXGBoost
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BI & reporting

Power BIExcelReportLabWeasyPrint
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Dev tools

GitGitHubDockerVS CodeGitHub Actions
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Cloud & hosting

Firebase HostingVercelNetlifyRenderRailway
Depth

Where I go deep

Python (analytics + backend)Expert
SQL & data modellingAdvanced
Financial accounting & ERP logicExpert
Dashboard engineering (Streamlit / Plotly)Advanced
Statistical modelling (GLM, time-series)Advanced
R (research statistics)Working