Pinerock Data

We deploy data science to unveil deeper customer and operational insights. Pinerock Data helps clients capture value and identify meaningful insights from data and turn them into impactful decisions. Our team of data scientists, engineers, and analysts brings deep technical expertise and an understanding of underlying industry economics and customer needs. We are technology agnostic and work with clients' preferred technologies and platforms to deliver impact through flexible and practical solutions. Recent projects Supply Chain Strategy: Pinerock built sophisticated demand forecasting and supply chain models, complete with assumptions input, statistical variability, scenario analyses, revenue and profit impact, and an order planning tool. Predictive Risk Modeling: Created a series of machine learning models to estimate default risk and expected loss in RBS's loan portfolios. Researched and creatively used third-party 'alternative' data to strengthen model power and precision. Customer Lifecycle Modeling: For a pioneering fintech startup, built advanced predictive models for the full customer life cycle including targeting, assessment, pricing, behavior, retention, cross-selling, survival, profitability, and lifetime value. Transaction monitoring & decisioning: For a global payments company, developed sophisticated predictive tools for real-time transaction fraud monitoring and decisioning, and implemented them in the client's main operating system and workflow. Data Lakes and BI: For a Fortune-500 industrial client, built data lakes, bringing together structured and unstructured data from multiple internal and external sources, and incorporated machine learning and BI reporting & visualization tools.