A prompt-based data analysis and visualization chatbot has been developed. The chatbot utilizes a large language model (LLM) to analyze data, create visualizations based on user requests, and display the results accordingly.
A data analytics project that explores trader behavior and trading performance using Python, SQL, and interactive visualizations. The project uncovers trading patterns, risk metrics, profitability trends, and behavioral insights to support data-driven decision making.
An inferential statistics pipeline applied to repeated electronic component measurements, built to assess spec compliance with statistical confidence rather than raw pass/fail thresholds.
some useful codes
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