Shawn Tang Email & Phone Number

Chicago, Il, Us

Brea, California, Us

Northbrook, Il, Us

My roles here include leading data science projects, and contributing to various modeling initiatives.Some focuses include strengthening various rating algorithms with predictive modeling support, as well as leading in modeling initiatives. I'm experienced in the following model types: GLM-net, GBM, Xgboost, NN(or RNN). The datasets I work with are large, such that they require h2o/hadoop access to work with.I'm experienced in leading teams and workflows in the AGILE environment. I've lead discussion in complex topics such as developing an automated interaction search tool(automatically engineering new interaction predictors to strengthen the signal of a model), as well as leading numerous training sessions for new data scientists.

Chicago, Il, Us

My workload focuses on the creation, validation, and production implementation of predictive modelsFraud Model:Responsible for developing model that predicts fraudulent orders before they occur(GLM, RF/GBM)Loan Risk Model:Responsible for developing model that predicts the likelihood of a customer defaulting on their installment payments(GLM, RF/GBM)Data Visualization:Created interactive BI dashboards that tracks KPIs using R shiny packageAdhoc Analysis:Conducted ad hoc analysis on customer lifetime value, AB testing, etc..)Model Lifecycle responsibilities:Feature Engineering: Create new/combined features(PCA) that add lift to the model’s effectivenessData Prep: Clean/transform features to maximize their contribution to the modelModel Selection: Test various model types GLM(with/without link functions)/RF/GBM/NNModel Validation: Look at AUC, RMSE, as well as business specific validation metrics(net loss dollars) to evaluate model performanceProduction Implementation: Develop a process by which the results of the model can be communicated and applied in a live production environment Performance Tracking: Build graphical dashboards that tracks the performance of “live” models(based on various relevant metrics) to make sure the model(s) are performing as expected

Chicago, Il, Us

Chicago, Illinois, Us

Promoted to Senior Actuarial Analyst with additional responsibilities of supervising junior staff.• Built a GLM model to predict profitability of incoming submissions, which allowed underwriters to decline unprofitable business without the guesswork, as well as informing them exactly how much credit/debit they can apply to a submission, for it to remain profitable.• Developing a Logistic model to predict if any of the existing claims will blow up to have severe losses, allowing the claims team to identify and focus on suppressing potential severe losses on existing claims before they occur.• Developing a Random Forest model to address how to improve policy retention within profitable business segments.

Chicago, Illinois, Us

Promoted to Actuarial Analyst working closely with the Chief Actuary. Additional responsibilities include: •Work closely with Chief Actuary to complete Quarterly Triangles, Planning Models, Rate Impact analysis, and Reserving Analysis.•Work closely with the executive team by interpreting large/complex datasets and presenting methods to increase profitability and policy retention using statistical/actuarial methods.•Provide actuarial support for rate filings for P&C insurance lines of business.• Actively participating in the actuarial study program

Chicago, Illinois, Us

As a member of the actuarial team, my responsibilities include:• Programming and maintenance of B.I financial reports using SQL and various data visualization tools.• Created B.I reports to provide internal financial profitability analysis as well as external state/countrywide data reporting requirements.• Provide support and data analysis needed for all departments • Monitor company and industry loss and premium trends• Perform pricing, reserving, or research reviews for products