Namrata Shandilya

Master's

Management Information Systems

Glovebox

Data Science Manager

(Principle Data Scientist) Spearheaded cross-functional collaboration on e2e products insights dashboard feature, achieving a 78% adoption rate and an 8% sales boost in the first month, directly addressing client concerns around lack of visibility. This spawned an advanced version with an ROI estimator model with Product and Leadership, demonstrating a 1.8x agency return on contract amount. Utilized A/B testing and causal inference techniques within an agile product development framework to optimize app design using telemetry data analysis, resulting in a 16% increase in policyholder agency referrals. Led real-time dashboard development monitoring KPIs and platform health with Mixpanel,halving response times. Led the development of a Random Forest Classification model using Python that predicted at-risk customers with 82.7% accuracy and a 0.72 F1 score, reducing cancellation requests by 5% within the first month. Directed N-gram Vectorization and Gradient Boosting Python model implementation to automate free-form text mapping with a 79.8% accuracy,reducing the unmapped agency insurance carrier backlog by 68%. Designed a roadmap and led a cross-functional team automating the pipeline and ticket generation, resulting in 24% fewer data support requests, and 3.2% higher policy throughput. Redesigned RDBMS and engineered an event-based pipeline e2e Stripe-HubSpot, using Segment, enabling visibility and reducing missed cancellations by 65%. These processes were previously handled manually. Automated various monthly financial reports, cutting processing time by 100% and enhancing data accuracy. Streamlined billing model restructures, using Python, SQL and the Stripe API, reducing operational time by 80%. Generated ad-hoc reports for leadership, utilizing SQL and result-driven approaches to create datasets from raw da