Ranjing Zhang Email & Phone Number

Beijing, China

• Designed and led the implementation of a strategic tagging system for ads metrerials, aligning with commercial advertising structures to enhance user targeting efficiency. This initiative resulted in a 30% reduction in customer complaints and a 0.6% increase in PC display weekly advertising expenditures• Spearheaded the integration of external DSPs, optimizing ad bidding and revenue across 360’s media platforms. Enhanced competitive bidding by addressing revenue gaps with external DSP funds, effectively doubling ad consumption• Conducted detailed data analysis on advertising metrics (UV, PV, expenditure, etc.), comparing weekly, yearly, and quarterly data to identify trends, measure performance against targets, and drive strategic decision-making

Since founding in 1776, Phi Beta Kappa has celebrated excellence in the liberal arts and sciences and championed freedom of thought. As America’s most prestigious academic honor society, Phi Beta Kappa are uniquely equipped to advocate for the value and benefits of liberal arts and sciences education.

Irving Institute For Cancer Dynamics, Columbia University, New York, Ny

· Applied CINner and MutationTimeR algorithms to estimate the timing of chromosomal alterations and analyzed the timing of copy number alterations (CNAs) in cancer evolution· Utilized R to perform statistical evaluations, providing advices for improving accuracy of CNA timing estimations· Participated in interdisciplinary seminars, expanding knowledge in oncology and statistical methodologies

China

• Accelerated private equity fund client acquisition through case study, using K-means clustering method to find similarities in 100 potential clients and recommending fund products with varying risk levels tailored to clients• Utilized principal component analysis to analyze and provide suitable margin trading and securities lending services to 25 eligible stock clients

United States

· Applied Python BeautifulSoup package to crawl all historical data from 2010 to 2023 from college football website· Employed conditional probability, multinomial model, beta distribution, maximum likelihood estimator, and other statistics tools to get probability for all football outcomes (Touchdown, Field Goal, Turnovers, and so on) given certain field position in R studio and pandas in Jupyter Notebook· Calculated statistical metrics (EP and EPA) as important predictors to build win probability model and predict winning probabilities of future games, increasing college football team’s ranking from 27th to 20th; be the first student to provide suggestions in football strategies based on data analysis and make huge progress in the process from nothing to actually derived useful statistics and be ready to modeling· Generated data visualizations for better analyzing game performance and provided detailed presentations to football faculties

China

· Cleaned and utilized daily data and Backtrader package in Python for back testing of all data and variables; build multi-factor model and select factors such as mutual fund scale to assist optimizing stock market strategy · Conducted multithreading programming strategy to make the time for data updates 2.5 times faster than before, increased efficiency of model improvement; troubleshooting technical issues· Extracted daily trading data from Tushare Api for more than 4,000 China A-share market stocks and over 600 ETFs from 1990 to 2022 by using Python for back testing; Ensured the accuracy of data to build multi-factor model

Master Of Arts - Ma, Statistics

Activities and Societies: Phi Beta Kappa, Pi Mu EpsilonI am a MA Stats student at Columbia University, starting to look for roles in data.

Bachelor Of Science - Bs, Mathematics

Activities and Societies: Phi Beta Kappa, Pi Mu EpsilonCentre College Double Major: B.S. in Mathematics and B.S. in Data Science Relevant.

Bachelor, Data Science

Activities and Societies: This is my second major in Centre College.