Let's discuss
Let's discuss

Revenue & Expense Trend Analysis

Spot margin erosion & revenue seasonality with ML-driven trend analysis for mid-sized B2B firms.

Machine-Learning Trend Models That Expose Profit Leaks

Problem

Cost spikes and sales swings hide in standard MoM/YoY charts.

Solution

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.

Deliverables

  • Historical trend visuals for revenue, COGS & OPEX
  • Automated variance alerts via email/Teams
  • Seasonality index & moving-average baselines
  • “What-If” Simulator: tweak price, volume, cost, see instant EBITDA impact
  • Auto-refresh 12-slide board deck

Process Snapshot

Data Audit

Model Training & Validation

Scenario Workshop

Quarterly Refresh Plan

Identify Six-Figure OPEX savings

Base Budgets on data-driven baselines

Communicate Trends clearly to boards and lenders

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