Jordan Young

Leading the development of server-side revenue technology at Glu including: -Data infrastructure and platform -Personalization and experimentation technology -Marketing and user acquisition analytics products

* Owned critical analysis and testing of key platform features by ensuring adequate eventing, planning experimental design, executing analysis of results and interpreting those results for management. * Performed research into user behavior via deep feature extraction and machine learning algorithms. Developed business applications utilizing this research to improve platform retention and monetization. * Prototyped data piping from Hive warehouse to HBase backing front-end funnel visualization, developing generic piping for all funnel events across games assuming an event schema. * Evangelized proper data usage and analysis and ensured insights team’s stakeholder role. * Built useful aggregations, tools and scripts to abstract complicated tasks (i.e. metric calculation, data operations, etc) for less technical analysts primarily using Hive UDFs, and Python scripting.

* Redesigned REO Sale Price Model and Disposition Cost Prediction logic and built an implementation used for pricing and retrospectively evaluating liquidation workouts, such as short sales, third party sales and deeds-in-lieu. * Conceived of, designed and implemented a model which predicts the net present value of a deed-in-lieu transaction used by business partners in guiding deed-in-lieu policy. * Developed and implemented a logistic regression model to predict the probability of a Broker Price Opinion (BPO) misvaluing a property. This model was placed into production and runs daily to select BPOs (used to price preforeclosure and third party sale transactions) for manual review. * Developed and implemented a logisitic regression model used to select high risk appraisals for manual review. This model runs daily on all recently acquired Real Estate Owned (REO) properties. Helped manage the software development life cycle process by working closely with business and technology partners. * Responsible for defending all model development in front of model validation. Also responsible for developing and implementing model performance tracking. * Developed a new methodology for pre-foreclosure sale and third party sale pricing emphasizing transaction risk management. Designed, developed and implemented a production process which computes these prices and is used by internal loss mitigation analysts to decision pre-foreclosure sales. * Provided analytics surrounding distressed asset disposition for our business partners to guide decision making. Analyzed the value of a variety of initiatives including Fannie Mae's First Look program. * Analytics and modelling performed using SAS and SQL in a Unix environment. Worked with extremely large and complex Oracle databases containing mortgage, property, valuation and disposition related data.