Jesse Yang Email & Phone Number

San Francisco, California, Us

San Mateo, California, Us

Prototyped the company's first user lifetime value model to forecast user future monetization, which allowed marketing to obtain an early estimate of return on ads spent and enabled the product to test causal levers to lift bookings.Measured the incremental impact of paid media without user-holdout experiments via causal inference methodologies, such as geo-lift experiments and synthetic control models, leading to reallocating sizable budgets to more incremental segments.Pitched and led the data science strategy and implementation of Roblox's first retargeting marketing campaign and proved the value of re-engagement by designing and analyzing experiments to understand incremental efficiency and improve future strategies.Built out the growth marketing data foundation that allowed growth marketers to understand campaign efficiency through data ingestion, ETL pipelines, and dashboards.

San Francisco, Ca, Us

Optimizing marketing efficiency via algorithmic intervention * Maximized the total conversion values by predicting converted customer LTV in real-time and sending them to external marketing platforms in the absence of immediate actualized values. * Owning full cycle, full-stack data science work in building, validating, and productionizing real-time pLTV models. * Proven millions of incremental annualized impacts on revenue and margin by designing and analyzing experimentsOwning marketing experimentation to unlock efficiency * Improving marketing efficiencies by designing and analyzing marketing experiments to understand and quantify treatment impact. * Making marketing experiments rigorous and actionable by advocating experimental design best practices and creating power analysis methodologies. * Making experimental results accessible and automating repeated analysis by creating ETL + inference pipeline with external marketing API

Amsterdam, Netherlands, Nl

Leading the acquisition of 1000+ short-term rental properties in 1 year by providing recommendations and prioritization on U.S. supply-side short-term rental acquisitions via complex data analytics projects.Helped the business to understand the incremental ROI of various business processes such as pilot programs and account management via designing and analyzing large scale geo-lift causal inference experiments. Built custom Facebook marketing analytics infrastructure/ data pipeline in collaboration with other Booking.com team members and Facebook engineers; contributions include 1. Enabled more precise causal ROI attribution of multi-million dollar monthly ad spend by designing innovative digital marketing metrics and applying statistical inference. 2. Unlock the capability to store granular marketing data by creating ETL that integrates Facebook marketing API with internal Hadoop tables with Python, Oozie, and Hive

Novato, Ca, Us

Built highly reliable (Cronbach’s alpha > 0.9) language and speech pathology assessment test model for large-scale, country-wide validation through applying item response, structural equation, and factor analysis models in R. Automated cleaning, validation, and analytic processes of psychometric data by developing functions in R using regular expressions, sped up data cleaning procedure from 10+ hours to seconds, and reduced data cleaning error rate from 5% to less than 1%.

Bachelor Of Science (B.S.), Statistics

Bachelor Of Science - Bs, Psychology

Certificate, Data Science