Description
Summary * 8+ years of Finance\Underwriting\ IT\Mortgage analytics & modeling experience * 8 years of teaching and research experience in Statistics and Econometrics Experienced with advanced statistical modeling and text mining, machine learning algorithms * Strong working knowledge of advanced analytics tools (SAS, R or Python, Hive, Impala, SQL) * Ability to learn and utilize large scale information systems * 2+ years of experience in Tableau, Visokio etc. BI tools * Coach of CUMCM and MCM (China/US Undergraduate mathematical contest in modeling) Interface with operational functions and IT to design develop test and implement models and other analytic solutions Developed statistical algorisms with R and Python Mini-Tab etc. existing technology platforms in big data environment. * Utilized Logistic Regression and Text mining approach to build change predictive models which predict the likelihood of a new RFC ending unsuccessfully before the implementation * Built change inflicted PRB early detection model which helps to detect the root cause of the IT problems once the new ticket is generated * Developed algorithms to optimize the settings of the overall stability of IT services and the user experience * Created GSD Call Volume Forecast by Time Series model which provides call volume forecast for 48 time slots each day to help with optimizing the help desk occupancy rate. The project was rank the quarterly number one achievement in Technology service and testing division. * Built incident clustering model to distribute the incident ticket to the right working queue * Migrated data from Oracle DB to Cloudera big data environment * Mentored other data scientists in algorithms models tools and products that make the team more efficient Design and build up predictive models (Logistic regression Model /Time series Model/ Survival Analysis Model / Decision tress etc.) to improve operations efficiency * Created loss mitigation model to target the best performing borrowers Developed validated and implemented various models for loss delinquency Ancillary revenue forecasting * Designed and built complex data sets and create collection dialing scorecard model to optimize staff resource * Performed various ad-hoc analysis for consumer portfolio as needed such as mortgage loan re-default analysis collection policies analysis etc.
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