Kevin Ong Fall Resume
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Kevin Ong Fall Resume

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WORK & LAB EXPERIENCE
CITIBank North America CCAR Modeling Intern/ May 2018-Present
? Developed Python software with SQL & Excel to allow for CCAR secure loan forecast prediction and modeling
? Led development of Python program to automate error correction and allow for cycle over cycle trend modeling
? Created Python package to automate forecast from manual process to a life of loan historical data driven model
? Within Global Consumer Banking department developed CCAR/DFAST financial stress loss models for secured portfolios
? Created data forecasting visualization method to facilitate communication of actionable items with non-specialists
Center for Engineering Innovation Project Team Leader Spring 2017-May 2018
? Using Matlab, modeled device lifetime and failure rates inside animal brains improved noise reduction and tripled life time
? Evaluated electrochemical model simplification methods to limit noise through Monte Carlo driven error prediction
? Facilitated design of product between surgeons and doctors at MIT/Harvard and engineers at UT Dallas
? Developed new testing methods to conduct and track simultaneous automated aging analysis of hundreds of samples
Advanced Polymer Research Lab Research Assistant Summer 2016-May 2018
? Designed accelerated aging experiments and characterized performance to 2.5 times better to comparable polymer
? Designed and built bioelectronics for use in animal brains to study brain waves and thinking relationships
Massachusetts Institute of Technology Researcher Summer 2016
? Research collaboration which studied the effects of implantable chronic cortical electrodes in nonhuman primate studies
? Defined 5 key areas of device failure and streamlined MIT client requests with UTD engineering limitations
PRESENTATIONS, AND CONFERENCES
Harvard Business Schools (HBS) Peek Conference Participant Summer 2018
Learned of the challenges leader face in business world through business cases and classes from HBS MBA faculty
Biomedical Engineering Society (BMES) Presenter October 2017
Presented on the behalf of APRL on the Electrical Characterization of Softening Materials in Flexible Thin Film Implantable Devices
Rice University Award: Best in Show November 2017
Presented on new discoveries and methods for advancing neural interfacing devices using softening polymer based designs
ADDITIONAL EXPERIENCE & TECHNICAL SKILLSs
Computer Languages & Skills: Python, SQL, C family, Verilog, MATLAB, PSpice, Excel & Microsoft Suite, and some SAS
Technical Capabilities: Software development, Financial forecasting, Statistical analysis, some Machine learning
Technical Specialty: SciPy, NumPy, Pandas, MatPlotLib, SQL, SciKitLearn, Scrapy, BeauitfulSoup4, some TensorFlow/KERAS
Languages: English, Teochew (Southern Chinese), Cantonese with some Mandarin, Beginner Korean and Spanish