A seasoned statistician and data scientist with more than 30 years of applied practice across Fortune 500 companies, healthcare, hospitality, gaming, and financial services. Co-developer of the SCA Statistical System — a major commercial statistical software platform — Bill brings rare depth across the full analytics stack: from mathematical programming and database architecture to machine learning, survival analysis, and advanced time series. His defining discipline is simplicity: whatever the technical complexity underneath, the solution must be easily operationalized or it will fail.
Bill Lattyak has spent three decades solving analytically complex problems for organizations that need answers, not academic exercises. Whether designing a real-time cloud-based analytics platform for a major online casino, building a comprehensive multi-brand restaurant forecasting system managing thousands of corporate locations, or authoring peer-reviewed research on antimicrobial resistance, his work is characterized by the same principle: the technique can be as sophisticated as the problem demands — but the output must be actionable.
As co-developer of the SCA Statistical System, Bill worked at the foundation layer of commercial statistical software — a credential that few practitioners share. That background gives him both the mathematical depth to engage the hardest modeling problems and the systems perspective to understand how analytical outputs must integrate with operational infrastructure to produce lasting value.
Within the Milestone Planning and Research practice, Bill serves as the quantitative anchor — bringing deep statistical discipline to complement John Aaron's hybrid cognition frameworks and the Sentinel and PRIMMS-GPT analytical platforms. His particular strengths in time series, forecasting, Bayesian methods, and system integration make him a natural fit for engagements that require rigorous, reproducible models delivered at production scale.
A representative cross-section of engagements — each defined by the combination of rigorous modeling and practical deployability that characterizes Bill's approach.
Designed and built a comprehensive forecasting system for a multi-brand international restaurant chain with thousands of corporate-owned locations. The system manages all data sources used by predictive models at the individual restaurant level and integrates with cloud-based labor scheduling, product preparation, and inventory management components — delivering forecast outputs directly into operational decision flows.
Designed and spearheaded development of a real-time, scalable cloud-based analytic and reporting platform for a major online casino. Combined deep database design expertise with advanced analytics to produce a production-grade platform capable of handling high-velocity transactional data and delivering actionable reporting at scale.
Managed and implemented survey analysis of customers and practitioners for health insurance carriers and providers of healthcare services across North America. Quantified areas of strength and weakness across locations and against competitors — providing the comparative intelligence needed for strategic positioning and service improvement.
Authored more than a dozen peer-reviewed research papers examining nonlinear relationships between hospital antibiotic usage levels and antimicrobial resistance of dangerous pathogens, and hospital policy assessment. Combines advanced statistical modeling with domain expertise in healthcare operational environments.
Conversion propensity, classification, and optimization. Deploying ML methods that solve the actual business problem — not the demonstration problem.
Advanced time series analysis including seasonal patterning, event impact, causality, outlier detection, and cross-channel dependencies. Operational at individual unit level.
Survival analysis to study attrition and churn, customer lifetime value, and time-to-event modeling across consumer and healthcare domains.
Sequence and probability modeling of events leading to an outcome — customer journey mapping, buy-flow analysis, multi-touch attribution.
Cluster analysis and segmentation, survey analysis and reporting, voice of customer programs with competitive benchmarking across geographies.
Regression, ANOVA, linear programming, probability & distribution theory, nonparametric methods, Bayesian weight-of-evidence. The full classical toolkit, applied rigorously.