Zhiyong Tan's Email Addresses & Phone Numbers

📖 Summary

At Manage, I designed and built products across the data analytics and machine learning pipeline, building various ETL pipelines, then machine learning models based on the ETL pipelines. At NativeX, I experimentally evaluated and productionized features from first and third-party data sources into machine learning models. My expertise also includes building Real Time Bidding (RTB) Bidder Bidding Strategy models for programmatic buying of ad inventory, which I did at Flurry. I am also experienced with mobile and embedded systems development, such as Android and Windows Phone applications, especially location-based applications. I have considerable experience with Xilinx Field Programmable Gate Arrays, as well as software projects involving C++ and Java programming. My undergraduate degree is in Applied Physics, and I spent much of my undergraduate time working on projects involving organic semiconductor device fabrication as well as other scientific projects.Big Data Engineer @ Design and implementation of ETL pipelines for machine learning. Development of data management platform from 2nd and 3rd party data, including creation and validation of user profiles. Application of Spark machine learning frameworks such as clustering for ad bidder targeting. Scripting in Python, HiveQL (including Java UDFs), MySQL. From January 2015 to September 2015 (9 months) San Francisco Bay AreaSenior Data Engineer @ Experimentally evaluate and productionize features from first and third-party data sources into machine learning models, contributing to considerable revenue lift. Proficient in writing Python and Java MapReduce jobs. Contributed thousands of lines of production code in languages including Python, R, and SQL. Experiments using various machine learning technologies including R gbm(), Python scikit-learn, Weka, Hive, mrjob. Supervised 5 interns in various machine learning projects. Wrote most of the onboarding documentation for new data science hires. From October 2013 to December 2014 (1 year 3 months) San Francisco Bay AreaSoftware Engineer, Intern @ • Machine learning applied to Real Time Bidding (RTB) Bidder Strategy for programmatic purchase of ad inventory • Built various machine learning models utilizing methods including logistic regression, linear regression, online learning • Contributed a few thousand lines of Python • Machine learning packages used were Weka, scikit-learn, LibSVM, LibLinear, and Vowpal Wabbit, with Python, Java, and C++ for scripting From June 2013 to September 2013 (4 months) San Francisco Bay AreaGraduate Student @ My primary work is on GPS receptivity in urban canyons. Prior to this work, GPS receptivity in urban canyons was unpredictable. I am using a 3D model (raster height data) of the urban area to predict the satellites that are detected by the receiver. From August 2010 to June 2013 (2 years 11 months) Houston, Texas AreaResearch Assistant @ Study of DNA-HNS interactions with magnetic tweezers. Some viruses reproduce by sending their DNA into the bacteria cytoplasm, where it merges with bacteria DNA and begins making copies of itself. One of the mechanisms of bacteria immune system against viruses is to synthesize HNS proteins which bind to and immobilize the invasive viral DNA. I used magnetic tweezers to determine the elastic coefficient of viral DNA after immobilization by differing amounts of HNS, contributing to the understanding of the mechanobiology of DNA-HNS interactions. From May 2010 to August 2010 (4 months) SingaporeTeaching Assistant @ Gave a 1 hour weekly tutorial to approximately 40 freshmen for PAP111 - Mechanics & Relativity Setter and marker of tutorials and examinations Designed a junior teaching lab experiment for PAP339 – Physics Laboratory IIIB Supervised junior undergraduates during the academic term From December 2008 to May 2009 (6 months) SingaporeC4 (Command and Control Information Systems) Signaler @ Did field setup of surveillance systems, involving wireless cameras, antenna, and servers. Wrote technical manuals for laymen on classified military software (command, control and communications). Leaving certificate records “outstanding performance”, “very good conduct” by battalion commanding officer. From December 2004 to December 2006 (2 years 1 month) SingaporeMaster's degree, Electrical Engineering @ Rice University From 2010 to 2013 B.S, Applied Physics @ Nanyang Technological University From 1996 to 2009 Zhiyong Tan is skilled in: C++, Python, Physics, Machine Learning, Matlab, Java, C, Programming, Algorithms, LaTeX, Characterization, Labview, Verilog, Signal Processing, Mandarin