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https://github.com/kishore17s/revenue_at_risk

Developed a predictive model to analyze and forecast revenue projections by assessing demand, inventory availability, and supply readiness. Utilized machine learning techniques to classify revenue into "Confirmed" and "At Risk" categories.
https://github.com/kishore17s/revenue_at_risk

machine-learning python streamlit

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Developed a predictive model to analyze and forecast revenue projections by assessing demand, inventory availability, and supply readiness. Utilized machine learning techniques to classify revenue into "Confirmed" and "At Risk" categories.

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