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  1. PouyasharpPouyasharpPublic

    Profile README for Pouyasharp

  2. meta-price-campaign-analysismeta-price-campaign-analysisPublic

    Process documentation for the Meta Ads price-test workflow: the 3-test rule, the column-index trap, bootstrap-on-ratios, and a reusable analyze_template.py. Companion to meta-price-test-analysis.

    Python

  3. meta-price-test-analysismeta-price-test-analysisPublic

    Multi-city Meta Ads price-test analysis pipeline — 3-stage: bootstrap+SARIMAX → stat sig → Bayesian+MC+power

    Python

  4. mmm-marketing-mixed-modelingmmm-marketing-mixed-modelingPublic

    Per-city Marketing Mixed Model (NCA + PCA + SARIMA + Hierarchical Bayesian + latent-class). 19-sheet workbook with full methodology. Anonymized.

  5. poseidon-weatherposeidon-weatherPublic

    Library + analysis for joining ad-performance data with Open-Meteo historical weather, then correlating/lagging/regressing the two. Extracted from a 3-show × 5-city real campaign study.

    Python

  6. sales-prediction-monitoringsales-prediction-monitoringPublic

    Per-venue sales monitoring + forecasting tool with M1/M2/M3 measurement cycle, 16-column schema, and threshold-triggered action framework. Anonymized companion to mmm-marketing-mixed-modeling.