Tyler Donaldson Email & Phone Number

Aljezur, Pt

Global

Responsible for leading the development and maintenance of several real-time predictive analytics products, solutions, and partnerships across a range of industries.• Regulatory compliance, technical documentation, and contracts. • Business strategy & team leadership (6-10 data scientists & developers). • Project and product ownership.• Scoping, modelling, testing, integration, and deployment of two real-time, enterprise level fraud, waste, and abuse risk segmentation solutions for two major insurance companies. One of which had exceeded ROI by testing phase.• Responsible for designing, developing, and maintaining the product, analytics, and system for PROPEL, a situational behavioural insights tool. PROPEL is used primarily by major Australian banks to gain emergent behavioural insights of their Business Bankers relating to key KPIs. Recruitment using PROPEL profiling has seen bottom-line performance improvements as high as 100%.• Designed and developed a self-learning, hyper-localized weather forecasting algorithm. Results showed a 238% error reduction in exact location frost forecast accuracy.• Developed an opportunity-based economics model that scales to run in parallel, for use in South African fisheries management decision making.• Designed, lead development, deployed and was project lead for a custom multi-model revenue forecasting solution for the tax revenue authority of a major African country. • Industry standard use cases: Churn modelling, Forecasting, Marketing optimization, Customer segmentation, Risk scorecards, Fraud detection, Combinatorial optimization.• Training delegates in advanced statistical software packages.

Global

MIMIR is a collective of consulting data scientists with decades of experience, focused on delivering industry leading predictive analytics solutions with minimal overhead costs.• Life Event modelling, IFRS9 and Non-Performing Entity analytics for Allied Irish Bank (AIB), used to inform and reduce credit risk. In-database life event flagging and SQL query optimisation greatly improved performance.• End-to-end, real-time credit offering decisioning system in SAS Real-time Decision Manager for a centralised, rapidly evolving Financial Service Provider that services several large retailers with bespoke credit products. Delivered within a year, including the implementation of 17 analytical models and several service calls & process changes.• Ongoing design of a next-generation, python native, real-time decisioning platform.