Specialties: Financial Software Development, Machine Learning, Natural Language Processing, Predictive Analytics, Big Data

Analyst @ Desk Analytics - leverage machine learning technique to solve MBS predictive problems (Scala, Apache Spark, R) - conduct prepayment modeling based on agency loan data (exposure to data cleaning/validation, feature engineering and modeling algorithm development) - analyze agency loan level data and create data visualization/analytics for trade idea generation process - provide tactical and technical solution for mortgage investment team in a fast paced environment AnSer Team - Build up a brand-new research management platform to support Equity/Credit investment workflow from scratch by using Apache Solr, AngularJS, Java - Conducted NLP analysis(sentiment analysis, named entity recognition for financial terms, topic classification) on terabytes of broker research notes, company conference call and Dow Jones financial news to extract impactful insights for equities active investment.(Scala, Java, HBase, Spark, Apache Solr) From February 2013 to Present (2 years 10 months) Greater New York City AreaApplication Developer Intern @ - Developed a Trading Activity Viewer and P&L Analysis system for a specific trading desk - Leveraged technologies such as GWT, GWTP, GXT, Guice, GIT, Maven, JUnit and Mokito to develop the whole system following MVP (Model-View-Presenter) pattern and using Test-driven Development, Mock and Integration Test methodologies. - Participated in finance seminar and got exposure on stocks, bonds, derivatives and trading strategies. From June 2012 to December 2012 (7 months) Greater New York City AreaTeaching Assistant @ Computational Linear Algebra - COMS 3251 From September 2011 to December 2011 (4 months) Greater New York City AreaResearch Assistant @ Conducted research on evolutionary algorithm, optimization and data mining. Publications: Zhi Zhang, Xinglin Zhang, A Hybrid Evolutionary Algorithm for Spectral Clustering, International Conference on Machine Learning and Computing, ICMLC2011. Xinglin Zhang, Zhi Zhang, An Improved Spectral Clustering Scheme Based on Differential Evolution, International Conference on Database and Data Mining, ICDDM2011. From September 2010 to March 2011 (7 months)

Master of Science, Computer Science @ Columbia University in the City of New York From 2011 to 2012 Bachelor of Engineering, Software Engineering @ Sun Yat-Sen University From 2006 to 2010 Zhixin High School From 2003 to 2006 Zhi Zhang is skilled in: Java, JavaScript, Python, Perl, Scala, R, Machine Learning, Software Development, MySQL, C++, C, Maven, User Interface Design, GXT, Django