VishalKumar-S/Sales_Conversion_Optimization_MLOps_Project
Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.
This project helps sales teams and business analysts predict which potential customers are most likely to convert into actual sales, boosting revenue. You provide your customer data, and it delivers insights and predictions on conversion probability. This is ideal for sales managers, marketing analysts, and business development professionals.
No commits in the last 6 months.
Use this if you need a reliable, automated system to predict sales conversions, maintain data quality, and monitor model performance over time, with alerts for any issues.
Not ideal if you're looking for a simple, one-off analysis and don't need a robust, continuously updated prediction system.
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Last pushed
Mar 22, 2025
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