Real Estate Project Engineer

ZIMENG (TINA) JI

*** *. ***** **, ***. **, New York, NY 10027 917-***-**** ******@********.***

EDUCATION

Columbia University New York, NY

Master of Science in Operations Research, GPA: 3.67/4.00 Sept. 2015 - Dec. 2016 Relevant Coursework: Statistic, Optimization, Data Mining, Machine Learning, Stochastic Models, Simulation, Dynamic Pricing and Revenue Management

Tongji University Shanghai, China

Bachelor of Engineering in Transportation Engineering, GPA: 3.70/4.00 Sept. 2011 – July 2015 Concentration in Transportation Planning & Modeling SKILLS

Language: Python, SQL, R, SAS, Matlab

Experienced with Statistical Machine Learning, Data Mining, A/B Testing, Web-scraping, Tableau, Shiny, SPSS WORK EXPERIENCE

IBM Shanghai, China

Data Scientist Intern July 2016 – Sept. 2016

• Modified parameters for hanlp – an open source Chinese language processing Maven project, increased Named Entity Recognition recall rate and precision rate by around 10% and 20% respectively

• Researched and implemented text mining statistical models in Python including Hidden Markov Chain, KMeans, PCA, N-gram and Conditional Random Field, tested performance of implemented models on client’s credit reports

• Demonstrated innovation and communication skills in discussing patentable ideas in weekly team scrum meetings Shenyin & Wanguo Securities Shanghai, China

Financial Derivatives Analyst Intern May 2016 – July 2016

• Calculated the price of HS300 vanilla index option through Monte Carlo simulation and used Black-Scholes model for option valuation. Implemented delta hedging strategy to hedge risk by purchasing or selling the HS300 Index future which was proven to be effective by break-even analysis

• Renewed and improved existing SAS SQL queries to the securities database which improved code readability and reduced query time.

Alekstra New York, NY

Business Analytics Intern Mar. 2016 – June 2016

• Created an Interactive dashboard in Tableau for users to compare mobile plans of top 4 US wireless service providers

• Identified analytical needs with business owners, and presented these new functionalities in front of management Urban Planning & Architectural Design Institute of Fudan University Shanghai, China Project Engineer Intern Sept. 2014 - Nov. 2014

• Optimized the top 5 congested intersections in Nanyang (a typical city of 4 million population) following improved Webster algorithm. Reduced the average waiting time and saturation degree of each intersection by 30% in simulations

• Generated forecasts on future traffic flow and trip distribution in a decade using linear regression, gravity model and multivariate logistic regression

ACADEMIA EXPERIENCE

Inferential Analysis on Manhattan Real Estate Sales Prices New York, NY Group Leader Mar. 2016 – May 2016

• Cleaned and pre-processed raw data from five data sources, aggregated information at neighborhood level and set up the primary key for integrating across sources

• Extracted supplemental data for each record by processing unstructured data in Python and mapped with online listings using Zillow API

• Performed linear regression analysis and used different model selection methods including Best Subset Selection, Forward Stepwise Selection, Lasso\Ridge Regression, SVM Regression and PCA(PCR) An Analysis of the Impact of Bus Station Designs on Residential Non-Work Travel Behavior Shanghai, China Undergraduate Thesis Mar. 2015 – June 2015

• Generated forecasts on future traffic flow and trip distribution in a decade using linear regression. Built a logistic model in R to study the correlation between geographic layouts of bus stations and the probabilities of people choosing bus for non-work travel

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