Work Sample 2
Market Forecasting in Fintech – predicting digital wallet activity with limited historical data via probabilistic modeling
The Challenge
A research and advisory firm sought to predict the future of mobile wallet usage in the US in 2015, but with digital wallets just emerging, historical data were minimal, so the forecast had to be built from sparse signals and probabilistic assumptions.
The Outcome
Through simulation modeling anchored in early payment data and market conditions, the forecast achieved remarkable accuracy. By 2024, published figures confirmed the model’s 2020 projections were within 2% of actual transaction volumes.
More Examples of Forecasting & Prediction Models
Health Impact Prediction Model for Social Care Initiative in UK
Healthcare / Biotechnology
Conducted extensive research into the quantifiable impacts of social care inputs (e.g., community micro-enterprises, volunteer programs) on healthcare utilization and costs. Drawing on academic research, NHS data, and other reputable sources, developed a 3-year, dynamic, scenario-based Social ROI (SROI) forecast model to support strategic planning for an experimental initiative in the UK.
Predicting & Ranking Real Estate Investment Property Leads
Real Estate
Designed a ranking and classification algorithm to identify properties in the northeastern US most likely to be candidates for sale to a real estate wholesaler. The project aimed to pinpoint distinguishing property features correlated with higher conversion probability and to establish a basis for expanding and generalizing the model for use in other regions.
Multi-Scenario Financial Forecast for Biotech Company
Healthcare / Biotechnology
Refactored, refined, and expanded a multi-scenario, 20-year financial forecasting model for a burgeoning biotech company developing RNA-based vaccines and therapies. The financial forecast model was based on an array of pertinent factors including, but not limited to, differing scenario-based probabilities of success across successive clinical trial stages for therapeutic candidates in nine functional pipelines and time-dependent batch cost amounts calculated using decay functions unique to each asset.
Predicting & Ranking Roof Repair Customers in Southern Florida
Manufacturing / Construction
Developed a ranking and classification model to identify the residential properties in two Florida counties most likely to require roof repair services due to damage from Hurricane Irma (2017). The model integrated selected and transformed features from two key data sources: nearly 700K property records from publicly available county datasets, and a purchased dataset containing ~1 million observations across more than 1,000 demographic and psychographic attributes.
Diagnostic Audit & Update Plan for Custom Builder's Revenue Forecast Model
Manufacturing / Construction
Executed a diagnostic audit and review of a monthly revenue forecast model used by a custom builder in Australia that tended towards over-estimating revenues in the near term. The deliverable was a detailed model update plan to correct the over-estimation problem and provide additional predictive accuracy.
SEM Based Classification Models for Product Usage
Consumer Goods / Retail
Created a suite of exploratory structural equation models (SEM) using data from a large-scale consumer survey focused on personal care products sold by a major multinational corporation. The models aimed to uncover the latent (non-directly observable) drivers influencing product usage within the target market. Accompanying dendrograms and logistic regression models provided additional support for relationships examined in the SEM path diagrams.