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SatyajeetSinghYadav001/README.md

Hi, I'm Satyajeet ! I build reproducible machine learning and analytics projects that translate business problems into measurable models and clear decisions.

Core focus: ML modeling • SQL analytics • forecasting • evaluation & experimentation
Tools: Python • SQL • pandas • scikit-learn • matplotlib • Git/GitHub (plus Power BI for dashboards)

Featured Projects

Projects are designed to show end-to-end capability: problem framing → data → model → evaluation → decision output.

  • E2E ML Pipeline (e2e-ml-pipeline)
    Production-oriented template: preprocessing + training + validation + artifact saving + inference script.

  • Time-Series Forecasting (time-series-forecasting)
    Backtesting framework with baselines, feature engineering, and error diagnostics (MAE/RMSE/MAPE).

  • Classification Modeling (classification-modeling)
    Strong evaluation: ROC/PR curves, calibration, threshold selection, and interpretability basics.

  • SQL Analytics Casebook (sql-analytics-casebook)
    Practical analytics queries: cohorts, funnels, retention, window functions, and performance patterns.

➡️ Portfolio index: ds-portfolio

What you can expect in my repos

  • Clear README (problem → approach → metrics → results → next steps)
  • Reproducible structure (src/, notebooks/, reports/)
  • Emphasis on evaluation and decision-making, not only visuals

Project Structure (typical)

data/            # sample or synthetic data only
notebooks/       # exploration and experiments
src/             # reusable code (features, pipelines, utils)
reports/         # results, charts, short write-ups
tests/           # lightweight unit tests (when applicable)
README.md
requirements.txt
- ⚡ Fun fact: ...
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Popular repositories Loading

  1. SatyajeetSinghYadav001 SatyajeetSinghYadav001 Public

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  2. ds-portfolio-Landing-page-for-projects-skills-and-case-studies.- ds-portfolio-Landing-page-for-projects-skills-and-case-studies.- Public

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  3. e2e-ml-pipeline-Reusable-ML-pipeline-with-metrics-tests-and-inference-script.- e2e-ml-pipeline-Reusable-ML-pipeline-with-metrics-tests-and-inference-script.- Public

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  4. time-series-forecasting-Backtesting-baselines-feature-engineering-error-analysis.- time-series-forecasting-Backtesting-baselines-feature-engineering-error-analysis.- Public

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  5. classification-modeling-ROC-PR-AUC-calibration-thresholding-interpretability-basics.- classification-modeling-ROC-PR-AUC-calibration-thresholding-interpretability-basics.- Public

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  6. sql-analytics-casebook-CTEs-window-functions-joins-cohort-funnel-analysis-queries.- sql-analytics-casebook-CTEs-window-functions-joins-cohort-funnel-analysis-queries.- Public

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