Sr data scientist / statistician in Capital One. Working on application stage and marketing stage risk and response models in Auto Finance. Model build experience from data cleaning / manipulation to model build and implementation using various tools including SAS / R / Python / Spark / hadoop (hive). Familiar with various statistical analysis skills and data mining methodologies. Proficient in SAS, Python, R, SQL, Java, hadoop, Matlab and Microsoft Office.

Senior Data Scientist @ Build new generate application stage credit decision model. Move model framework from SAS to Python and explore open source model development tools, including spark / hive / SPM. Leverage various internal and external data source, including card transaction data, to improve model performance. From July 2015 to Present (4 months) Statistician; data scientist @ Build application stage credit decision model for auto finance. Maintain and monitor marketing stage decision models including risk models and response models. Conduct various analysis and work with business partners to improve current models and better serve the business purpose. From July 2014 to June 2015 (1 year) Dallas/Fort Worth AreaResearch Assistant @ Cooperate with researchers in the PEcAn project. Construct statistical models to compare the result and efficiency of different ecosystem models using R. From February 2013 to June 2013 (5 months) UIUCResearch Assistant @ I, as the team leader of my research team, cooperate with the National Center for Cardiovascular Diseases and did an interdisciplinary research project, which is "Analysis of cost-effectiveness of pre-hypertension control methods for different age groups" as refered in my projects. Due to our outstanding performance in this research project, we worked during that time and after as research assistants in National Center for Cardiovascular Diseases and our main job was data mining using SAS. From February 2011 to March 2012 (1 year 2 months) 167, Bei Li Shi Lu, Beijing 100037, ChinaSummer Intern @ Work for KPMG for five weeks, helping contact clients, organize supporting documents, performing basic audits and checking the balance sheet. With my math ability, I performed exceptionally well at KPMG. After the internship, I was awarded an opportunity to skip the 1st round interview and have an early 2nd round interview for the coming 2012 graduate position. Such an opportunity is only ever afforded to an elite intern who has been recognized for skill and talent. From July 2011 to August 2011 (2 months) 8th Floor, Tower E2, Oriental Plaza, 1 East Chang An Ave, Beijing 100738

Master's degree, Statistics, 3.97 @ University of Illinois at Urbana-Champaign From 2012 to 2014 Bachelor of Science (B.Sc.), Mathematics, 3.75 @ Beijing Normal University From 2008 to 2012 Jing Xia is skilled in: SAS, R, Statistical Modeling, Data Mining, Statistics, Data Analysis, Machine Learning, Matlab, SAS programming, Logistic Regression, Time Series Analysis, Java, Analytics, Predictive Modeling, Predictive Analytics, Cluster Analysis, Linear Regression, SQL, Decision Trees, Business Analytics, Eviews, Python, Hadoop