marketing-roi

Enterprise B2B multi-touch attribution and budget optimization engine built with Polars, DuckDB, Pydantic v2, Gemini structured output, and Streamlit.

End-to-end business analytics: funnel optimization, churn prediction, pricing elasticity, and marketing ROI. Synthetic 100K+ records.

End-to-end unit economics modeling, cohort LTV analysis, and cross-channel marketing ROI optimization pipeline built in Python.

A data-driven analytics pipeline and machine learning model to evaluate Influencer Marketing ROI and optimize campaign performance.

End-to-end marketing analytics project using Python and Power BI to optimize ROI through attribution modeling, regression analysis, and budget optimization.

Machine Learning project for customer segmentation, marketing ROI prediction, and personalized airline marketing using social media insights, travel behavior analytics, Random Forest, XGBoost, and K-Means clustering.