Demand & operations forecasting
Seasonality-aware forecasts with honest prediction intervals — for staffing, inventory, and capacity.
Turn data into strategic insight — behavioral models, forecasting, fraud detection, and executive analyses that actually move a number.
Dashboards describe the past. Data science should change what you do next — which customers to target, how much to hold, where fraud is hiding, which lever actually moved the result.
BIS builds models with a decision attached, and reports the honest uncertainty around them, because a forecast without an interval is a guess in a suit.
Across insurance, banking, and retail, the founder has built the models below and, just as important, the analyses that pivoted credit policy and marketing at the executive level.
Seasonality-aware forecasts with honest prediction intervals — for staffing, inventory, and capacity.
Model how users move through your product to retarget communication — a Markov-chain model at a major bank lifted app activation +15%.
Pattern detection on transactions and instant payments, and Monte-Carlo credit-risk analysis that traces the efficient frontier.
Attribution and executive analyses that reallocate spend — one drove +45% high-quality credit-card leads.
We start with a conversation, prove the value on a focused POC with your real data, then ship it — measurable ROI, not a model demo.