Parastoo N.

Lead end-to-end delivery of enterprise data and analytics products from technical definition to go-to-market

Established and led FSRA’s enterprise AI and analytics program, managing cross-functional teams and delivering multiple data and platform initiatives

• Directed Service Optimization and Marketing Analytics departments, providing strategic guidance to analytics teams. • Established the Marketing Analytics function, recruiting a team of six and launching predictive ridership models. • Enhanced marketing ROI through K-means customer segmentation for targeted campaigns based on rider behavior. • Transformed Service Optimization into a proactive function by optimizing schedules with unsupervised learning techniques.

Led enterprise analytics transformation program, delivering data architecture, pipelines, and reporting frameworks

• Oversaw all analytical requests for the Canadian market while reporting to the VP of International Analytics. • Established and led a high-performing analytics team, enhance weekly dashboards. • Revolutionized stakeholder communication by guiding clients in framing business questions and showcasing analytics capabilities. • Developed a predictive model for Paramount+ to improve subscriber conversion rates from free trials.

Built and led global analytics teams delivering subscription and revenue analytics (churn, LTV, conversion)

• Developed Claim Propensity models using SAS and Python to assess claim likelihood for various financial products. • Employed logistic regression techniques to forecast potential issues, mitigating millions claim risk early on. • Integrated data from multiple sources, revealing discrepancies and enhancing reporting accuracy with cloud solutions. • Created a Power BI dashboard, transforming manual reporting into a real-time, self-serve platform for stakeholders.

Designed a credit adjudication strategy for small businesses by leveraging machine learning and optimization techniques. By combining a robust database and scrutinizing longitudinal data, optimized credit offerings for each business, leading to enhanced provisioning accuracy.

Led delivery of enterprise risk and analytics programs across data engineering, risk, and compliance teams

Designed automated adjudication systems integrating TransUnion and internal data

Constructed an auto vertical in collaboration with Dealertrack, integrating a credit check interface that relayed data to multiple lenders, determining credit decisions and APR. This system, subsequently sold to National Bank, utilized dormant data and presented it to financial institutions such as RBC Auto. This precise risk modeling led to a significant reduction in potential income losses. Developed a subprime model by spearheading requirement settings and prioritizing tasks, in collaboration with sales and consulting teams. This model assisted lenders in determining the appropriate APR to charge based on calculated risk for external projects.

Develop and implement new risk segmentation strategies in account management level using complex data analysis techniques. Lead all regular monthly reporting processes for implemented strategies as well as provide ad hoc analytical support to senior management. Track the performance of the current strategy and validate the risk model for constant improvement and making recommendation on key risk adviser.

Pre and post campaign analysis including lead generation, test/control, and campaign results and providing feed backs. Segmentation and clustering based on consumer behavior. Ad-hoc requests from different LOBs (insurance, marketing, media and etc).

Applied Data Science – Leveraging AI for Decision-Making

Strategy Execution, Negotiation Mastery, Organizational Leadership, Leadership Excellence