Spot margin erosion & revenue seasonality with ML-driven trend analysis for mid-sized B2B firms.
Cost spikes and sales swings hide in standard MoM/YoY charts.
I apply Python’s Prophet and Power BI decomposition to 6–24 months of GL data separating seasonality from noise, flagging anomalies, and providing “what-if” scenario simulations.
Identify Six-Figure OPEX savings
Base Budgets on data-driven baselines
Communicate Trends clearly to boards and lenders
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