Jingda Xu
********@*****.*** +1-281-***-**** www.linkedin.com/in/jingda
EDUCATION
Rice University Houston, Texas
Master in Statistics (MSTAT) Dec, 2018
PROJECT EXPERIENCE
Bank of America Quantitative Model Optimization Aug - Dec, 2019
Solutions include model optimization, statistical analysis, backtesting, and sensitivity analysis, MRM documentation, document conversion. Documentation using Latex and its macros as well as embedded Python code, and updating through Git/Bitbucket; analysis using PyCharm with lib through Artifacts; data using sql query through Oracle SQL tools and Toad Data Point/Modeler. Basin Electric Power Cooperative Storage Valuation May - Aug, 2019
Solutions include NG storage valuation model with VBA, input NG storage plan of price curve, inj and wd, output val, MTM val, and implied mgn; documentation on test scripts on NG trade entry scenarios of, e.g. load, prod, sale, trans, stor, and hedge, and corresponding nom, sched, and actu. ExxonMobil Well Work Maintenance Jan - Apr, 2019
Solutions include DCA, BSD and MCMC model on well work with R; documentation and validation on models of BN on equipment maintenance, and methods JCI, MC, GB, RF, and B; NLP information extraction with Python. Whitestone Tenant Database Update App github.com/Jingda/Tenant-Database-Update
Created idea and designed application independently Aug - Dec, 2018
Updates tenant database from different sources by one click 2018 Data Science Bowl www.kaggle.com/c/data-science-bowl-2018 Bronze Medal, Top 9% Jan - Apr, 2018
Led a team of two to generate two models, U Net and Mask RCNN
Analyzed image data, implemented and optimized models
Finalized competition with Mask RCNN model and achieved 45.5% accuracy PROFESSIONAL EXPERIENCE
KPMG Los Angeles, California
Risk Analyst 2019.1 – Present
Supervisors: Brian O'Neal Principal, Risk Consulting Aftab Saleem Director Advisory, Risk Analytics
UT MD Anderson Cancer Center Houston, Texas
Research Fellow 2011.10 – 2016.6
Supervisors: Jason R. Westin, M.D. Associate Professor
Analyzed clinical data from 200+ cancer patients
Analyzed drug-resistance data for 100+ potential chemicals against cancer DATA/PROGRAMMING/SYSTEM LANGUAGES
Programming: C, Java Web Service: AWS, Colaboratory, Github Web Design: HTML, CSS, Javascript, JQuery Database: MySQL, MongoDB, Oracle Data Tool: R, Python, Excel, MATLAB, SAS, Octave, Mathematica, JMP IDE: RStudio, PyCharm, Anaconda, IntelliJ IDEA, Eclipse, Canopy Documentation: LaTeX, Markdown, Word OS: macOS, Windows, Linux, Unix MEMBERSHIP
American Statistical Association(ASA)
Institute of Mathematical Statistics (IMS)