Kevin Feng Email & Phone Number

Los Angeles, Ca, Us

Los Angeles, Ca, Us

• Led product design and development of statistical models to predict player lifetime value (LTV) of 200M+ players with ~15% mean absolute error. LTV's used to optimize >$50M of marketing spend and drive C-level strategic goals• Conduct causal inference (multivariate a/b testing, factorial design, geo testing) experiments to measure incremental value of advertisements• Developed player segmentation models using clustering algorithms to define player personas that optimize retention and revival targeting by paid media

Palo Alto, Ca, Us

• Built department of eight data scientists, leading team in development of analytics components and machine learning models within Beam’s enterprise software platform• Architected and developed initial live versions of AI microservices codebase as well as CI/CD and deployment pipeline leveraging Python, Spark, MySQL, Elasticsearch, Docker, Jenkins, and AWS ECS (now Kubernetes) • Built and productionized decision tree models using AWS Sagemaker and scikit-learn to detect suspicious financial transactions in real-time with up to 400% improvement in precision relative to customers' legacy systems• Developed LSTM autoencoder model using TensorFlow to detect anomalies in financial transactions and generate customer risk scores• Designed and implemented customer-facing analytics dashboards (powered by AWS Quicksight) visualizing system and operations KPI’s in real-time• Developed web crawler-based data acquisition framework for building proprietary Beam datasets to augment detection of financial crime• Collaborated with product, sales/marketing, and engineering teams to drive product direction while balancing quality, speed, and scalability• Directed technical implementations/integrations for all customers

London, Gb

• Managed technology transformation project with over 20 team members, overseeing $8 million budget, project timelines, deliverables, and key stakeholder reports• Achieved 33% increase in regional asset utilization for Fortune 500 oilfield services company by optimizing processes through collection and analysis of operational data• Developed proprietary oil tank volume calculation tool that generated over $800,000 in revenue

Statistical optimization and simulation modeling for reservoir operations

Master Of Engineering - Meng, Industrial Engineering And Operations Research

Bachelor Of Science (B.S.) With Honors, Petroleum Engineering