Robert Paine Email & Phone Number

California, United States

San Francisco, California, Us

Tech Lead for Notifications working on content personalization, targeting and delivery optimization, user segmentation, funnel and customer journey analytics.Tech Lead for Performance Marketing working on lifetime value modeling, incrementality and impact measurement, budget and targeting optimization.Learning a lot about causal inference, quasi-experiments, policy evaluation/optimization, recommender systems and contextual bandits.

San Francisco, California, Us

San Francisco, California, Us

Tech Lead for high-capacity vehicles. Metrics and optimization for rider growth, driver quality, schedule optimization and route design. Managing a small team of DS, aligning with business stakeholders and learning a lot about integer programming.

San Francisco, California, Us

Shared Rides from Feb 2017 to Dec 2019Marketing Analytics from Mar 2016 to Feb 2017Predicting trip duration intervals (p25, p75) for Shared Rides requests. Leverage Bayesian Optimization to tune xgboost hyperparameters and deliver 10% improvement in accuracy.Creating and managing Shared Rides data mart composed of dispatch, trip, and chain fact tables generating tens of millions of daily records parsed from microservice logs.Experimental design and analysis for new product features. Learning about ratio metrics and marketplace experiment designs."Top-down" marketing attribution and channel mix optimization using Gaussian process regression.

San Diego, California, Us

Tech Lead on multiple data science consulting projects for large Enterprise clients.eCommerce search algorithm using multi-label SVM for query expansion and hybrid BM25+revenue ranking model (production Winter 2015 with est. ~$4MM/yr increase in revenue).Distributed demand forecasting solution supporting global call-center staffing across product lines and service levels at a major high-tech manufacturer using in-database, automated ARIMA modeling.B2B account behavioral segmentation, marketing attribution and life-cycle analysis.

In-silico disease modeling for clinical trial design optimization and patient variability analysis.Learning a lot about dynamical systems, nonlinear optimization, and unsupervised learning.

New York, Ny, Us

TA for differential equations

New York, Ny, Us