Case studies
Selected Work
Decision systems built for business teams — forecasting, marketing measurement, pricing, GenAI, and risk. Client names anonymized.
AI-guided recommendation engine for premium floral e-commerce
A production-oriented recommendation system that guides customers through emotionally loaded floral purchases — using a deterministic state machine with LLM components constrained to intent parsing and rationale generation only.
OutcomeFull guided purchase flow: delivery validation, persona selection, budget extraction, curated recommendations with auditable scoring
Python · FastAPI · LangGraph · OpenAI · +6
CLV-driven acquisition & budget allocation
Predictive CLV modeling combined with lookalike audience optimization to shift acquisition from volume metrics to value-based targeting.
OutcomeFrom volume optimization to value-based acquisition
Python · CLV Modeling · Meta Marketing API · Lookalike Audiences · +1
Call volume forecasting per operator
Bayesian hierarchical model for predicting call volumes at the operator level, enabling data-driven workforce planning and staffing decisions.
OutcomeFrom heuristic rules to uncertainty-aware forecasts
Python · PyMC · Bayesian Inference · Poisson Regression · +2
Supplier risk intelligence framework
Network-based supplier risk modeling that identifies systemic vulnerabilities and "too-central-to-fail" suppliers before disruptions occur.
OutcomeFrom reactive scorecards to systemic risk intelligence
Python · NetworkX · Graph Analytics · Risk Modeling · +2
Travel retail forecasting system
Multi-SKU demand forecasting pipeline for 30+ products across 100+ duty-free locations with automated monthly updates.
OutcomeForecast error: 38% → 24%
Python · Prophet · scikit-learn · PostgreSQL · +4
Consumer healthcare marketing mix model & budget optimizer
Proprietary Marketing Mix Model with budget optimization replacing intuitive allocation with data-driven decision making across multiple countries and touchpoints.
OutcomeStrategic budget reallocation based on incremental response curves
Python · Bayesian Modeling · Optimization · Data Visualization · +2
B2B SaaS pricing optimization
Willingness-to-pay analysis and price sensitivity modeling for a B2B SaaS product, resulting in a new tiered pricing structure.
OutcomeRevenue per customer ↑31%
Python · pandas · scikit-learn · Qualtrics · +2
Vitamins product pricing optimization
Data-driven pricing strategy for new vitamin product launch using Bayesian demand modeling and mixed-integer programming to optimize portfolio-wide pricing.
OutcomeRevenue ↑18%
Python · PyMC3 · PuLP · pandas · +3
Automated credit decisioning system
Machine learning-powered credit decisioning system leveraging alternative data from social media and digital footprints combined with traditional credit data to improve risk assessment accuracy and speed.
OutcomeDecision speed ↑10x
Python · Pandas · Scikit-learn · XGBoost · +4
Client names anonymized. Projects described at a high level to preserve confidentiality.