Peter Chen Email & Phone Number

Atlanta, GA, US

Alpharetta, GA, US

• Architected the data strategy roadmap of Insurance Performance Datamart for data science team, aligning technical solutions with business goals, enhancing cross-team collaboration, and ensuring impactful, data-driven.
• Direct the development of the Prospect Survival Score model to predict retention risks, providing technical expertise across the full modeling life cycle while mentoring senior members to deliver a robust.
• Led the end-to-end development of a household-level Lifetime Value model using XGBoost, guiding the team through model design, feature optimization, and implementation, resulting in a 7x lift in predictive power.

Alpharetta, GA, US

• Auto Underwriting/Vehicle Build - Advanced Driver Assistance Systems (ADAS)
• Conducted a study on the risk performance associated with claims from unlisted drivers, improving the loss indicator to assist insurance carriers in more accurately identifying high-risk policyholders.
• Researched the insured electric vehicles and to analyze the rate of switching from Internal Combustion Engine (ICE) to other electric vehicle types and to assess the subsequent loss performance of policyholders who.
• Conducted multivariate analysis to determine the pure impact of the combinations of different core ADAS features and create significant pricing segmentation for vehicles using GLM and tree-based models

Alpharetta, GA, US

• Life, Batch, A&R, Auto
• Developed enhanced Pool Adjacent Violators Algorithm and automatic Python scoring programs by leveraging Master Model Framework for variable treatments, GLM, and model assessment
• Built an annual $10+MM revenue semi-automated process with multiple combined products to help a carrier understand their monthly auto insureds' portfolios and find additional premiums using Python
• Conducted XML data transformation, validated the match for Life Risk Classifier (LRC), and analyzed MVR violations of LRC production population by score binning to improve a critical business process with less costs in.

Atlanta, Georgia, US

• Conduct fuzzy join on unstructured datasets of governmental bonds, winsorize outliers, and model order logistic regression analysis using SAS and R

Alpharetta, GA, US

• Automated statistical visualization to self-serve interactive exploration in Power BI and assisted business people to better understand data in greater efficiency
• Enhanced predicted solutions to improve the efficiency of auto insurance quoting process for a top carrier with logistic regression, random forest, and gradient boosting for features selection in Python

CH

• Built models to monitor loss ratio of Taiwan Mobile Phone Insurance and project ultimate claims and earned premium for six channels with more than 3GB raw datasets in R and SAS programming.
• Analyzed insured’s preference, potential customers, and risk probability for Travel Accident Insurance using R with semi-structured data of more than 5 million observations.
• Delivered loss ratio report of Group Personal Accident for each benefits with semi-structured data in VBA.
• Conducted Own Risk and Solvency Assessment (ORSA) report of Taiwan branch with global headquarters’ unit members and participated in ERM system launching and risk assessment.

內湖區, 台北市, TW

• Previous: Industrial Bank of Taiwan (2897)
• Constructed 2 financial datasets and supported weekly financial reports.

Taipei City, TW

• Supported data analysis with descriptive statistics and data collection on London InterBank Offered Rate.

Master Of Business Administration - Mba

Master Of Science - Ms, Actuarial Science

Master Of Science - Ms, Quantitative Risk Analysis And Management

Bachelor Of Science - Bs, Statistics