16Fall stat master，CV求改，感激！字数700
25039
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[align="left"]EDUCATION [/align][align="left"]School of Science, Beijing Jiaotong University (BJTU), Beijing, China Sept. 2012-Present [/align][align="left"]v Bachelor of Science in Information and Computing Science[/align][align="left"]v GPA: 3.9/4.0 Ranking: Top 5% [/align][align="left"]v GRE: 323 (Verbal: 153, Quantitative: 170, AWA: 3.0) TOEFL: 100 (R:27, L:25 ; W:24; S:23 )[/align][align="left"]RESEARCH PROJECTS [/align][align="left"]Application of Multiple Grey Predicting Model For Monitoring Dam Safety Oct.2015--present[/align][align="left"]v Collected data of dam monitoring through practical observation and built multiple grey predicting model[/align][align="left"]v Analyzed several parameter estimation methods, proposed Moore-Penrose Inverse of matrix and gave corresponding calculation examples to solve the singular matrix problem[/align][align="left"]v Applied sequence transformation to improve the smoothness of the sequence and the results indicated that strict monotone increasing series could be applied to improve the precision and fitting of the grey predicting model[/align][align="left"]v Modified the boundary condition of the model and proposed a new predicting formula[/align][align="left"]Matlab Realization of Multi-variables Grey Forecast Model Oct.2015--present[/align][align="left"]v Analyzed and discussed the modeling method and algorithm of several multi-variables grey forecast models[/align][align="left"]v Designed the Matlab programming to predigest the calculations and provided an application example to test its convenience and efficiency. [/align][align="left"]Stock Price Prediction by Optimized Neural Network May.2014--May.2015[/align][align="left"]National Undergraduate Innovation Program[/align][align="left"]v Conducted principal component analysis to simplify variables [/align][align="left"]v Researched Particle Swarm Optimization(PSO) to optimize the parameters used in neural network; [/align][align="left"]v Performed simulating calculation with Matlab and the results showed that the optimized RBF neural network decreased the predicted time and improved accuracy[/align][align="left"]COMPETITIONS [/align][align="left"]Finding the Best Coach Feb.2013[/align][align="left"]Mathematical Contest in Modeling (MCM)[/align][align="left"]v Selected eight factors to evaluate coaches performed a quantitative analysis of various factors and normalized them by a normalized method[/align][align="left"]v Applied AHP model to calculate the weight of each factor and gave rankings of each sport coach[/align][align="left"]v Referred to the regulation used in other countries to ensure effective and objective data and processed the data by Maximum difference normalization method [/align][align="left"]v Integrated the use of AHP and principal component analysis to realize fair evaluation criteria when it came to female and male uneven physical fitness[/align][align="left"]A Hybrid Ebola Spread Model and Emergency Delivery System Feb.2014[/align][align="left"]Mathematical Contest in Modeling (MCM)[/align][align="left"]v Modified the classic SIR by adding other proportions [/align][align="left"]v Set up a few differential equations to describe the spread process of Ebola and utilized the Newton Interpolation to make up the missing data[/align][align="left"]v Compared the actual data with the outcomes from our model and the results of curve-fitting proved the feasibility of the epidemic model [/align][align="left"]v applied the Cellular Automata Model to predict the spread of disease with Matlab[/align][align="left"]v applied hierarchical cluster to select the specific airport and determined the transport routes by Hamilton Circuit[/align][align="left"]Elevator Transportation Model Based on Floor Priority and Partition Optimization Jun.2014[/align][align="left"]Mathematical Competition in Beijing Jiaotong University[/align][align="left"]v Built three models respectively based on priority, elevator partition and principles of directness[/align][align="left"]v Wrote programs with DEV C++ for the three models, input 20 sets of data to compare the results and determined the optimal design[/align][align="left"]v Varied part of the program in the DEV C++ and applied analytic hierarchy process to calculate the weight to obtain the priority order of the factors[/align][align="left"]v Applied the model to real cases and proposed some suggestions[/align][align="left"]COURSE PROJECTS [/align][align="left"]Issue and Set price to a Share Warrant Jan.2015[/align][align="left"]v Derived an effective option pricing model from the Black-Scholes model based on the put-call parity theory[/align][align="left"]v Applied the pricing model to a stock from the market, calculated the equations and the probability of profit and the results proved to be greater than 85%. [/align][align="left"]Predict the Stock Trend May.2014-May.2015[/align][align="left"]BP Neural Network[/align][align="left"]v Determined the indexes and connections of the BP neural network and processed the input indexes as training samples and test samples[/align][align="left"]v Practiced the historical data of CSI 300 on MATLAB and predict the trend in the next 3 weeks [/align][align="left"]ARIMA Model [/align][align="left"]v Used ADF examination and residual series to make sure the ARIMA model was applicable[/align][align="left"]v Extracted historical data of CSI 300 and establish an ARIMA model on Eviews to predict the future trend[/align][align="left"]v Analyzed the results and the fitting was proved feasible[/align][align="left"]HONORS [/align][align="left"]Merit Student in BJTU Sept.2013--Jul.2014[/align][align="left"]Third Place Winner in Logistics Design Contest in BJTU Dec.2014[/align][align="left"]Won the second Prized in the school-level Mathematical Competition Apr.2014 [/align][align="left"]Second Scholarship Recipient in BJTU Sept.2012-Jul.2014[/align][align="left"]Second Prize in the Physics Contest for College Students in Beijing Dec. 2013[/align][align="left"]EXTRA-CURRICULAR ACTIVITIES [/align][align="left"]Summer Intern, Meituan.Com, Beijing, China Jul.-Sept.2015[/align][align="left"]v Collected operational data of multiple stores, input and processed the data and provided support for the subsequent projects[/align][align="left"]v Contributed to the analysis of the trend in popular product and proposed proper suggestions [/align][align="left"]Volunteer, APEC Leaders Meeting Oct.-Nov.2014[/align][align="left"]Volunteer, Beijing International Marathon Oct. 2014[/align][align="left"] [/align][align="left"]SKILLS AND INTERESTS [/align][align="left"]v Proficiency in Mathematics，Latex and computer language including C/C++ programming, R, Mathematica, and MATLAB.[/align]
[align="left"]EDUCATION [/align][align="left"]School of Science, Beijing Jiaotong University (BJTU), Beijing, China Sept. 2012-Present [/align][align="left"]v Bachelor of Science in Information and Computing Science[/align][align="left"]v GPA: 3.9/4.0 Ranking: Top 5% [/align][align="left"]v GRE: 323 (Verbal: 153, Quantitative: 170, AWA: 3.0) TOEFL: 100 (R:27, L:25 ; W:24; S:23 )[/align][align="left"]RESEARCH PROJECTS [/align][align="left"]Application of Multiple Grey Predicting Model For Monitoring Dam Safety Oct.2015--present[/align][align="left"]v Collected data of dam monitoring through practical observation and built multiple grey predicting model[/align][align="left"]v Analyzed several parameter estimation methods, proposed Moore-Penrose Inverse of matrix and gave corresponding calculation examples to solve the singular matrix problem[/align][align="left"]v Applied sequence transformation to improve the smoothness of the sequence and the results indicated that strict monotone increasing series could be applied to improve the precision and fitting of the grey predicting model[/align][align="left"]v Modified the boundary condition of the model and proposed a new predicting formula[/align][align="left"]Matlab Realization of Multi-variables Grey Forecast Model Oct.2015--present[/align][align="left"]v Analyzed and discussed the modeling method and algorithm of several multi-variables grey forecast models[/align][align="left"]v Designed the Matlab programming to predigest the calculations and provided an application example to test its convenience and efficiency. [/align][align="left"]Stock Price Prediction by Optimized Neural Network May.2014--May.2015[/align][align="left"]National Undergraduate Innovation Program[/align][align="left"]v Conducted principal component analysis to simplify variables [/align][align="left"]v Researched Particle Swarm Optimization(PSO) to optimize the parameters used in neural network; [/align][align="left"]v Performed simulating calculation with Matlab and the results showed that the optimized RBF neural network decreased the predicted time and improved accuracy[/align][align="left"]COMPETITIONS [/align][align="left"]Finding the Best Coach Feb.2013[/align][align="left"]Mathematical Contest in Modeling (MCM)[/align][align="left"]v Selected eight factors to evaluate coaches performed a quantitative analysis of various factors and normalized them by a normalized method[/align][align="left"]v Applied AHP model to calculate the weight of each factor and gave rankings of each sport coach[/align][align="left"]v Referred to the regulation used in other countries to ensure effective and objective data and processed the data by Maximum difference normalization method [/align][align="left"]v Integrated the use of AHP and principal component analysis to realize fair evaluation criteria when it came to female and male uneven physical fitness[/align][align="left"]A Hybrid Ebola Spread Model and Emergency Delivery System Feb.2014[/align][align="left"]Mathematical Contest in Modeling (MCM)[/align][align="left"]v Modified the classic SIR by adding other proportions [/align][align="left"]v Set up a few differential equations to describe the spread process of Ebola and utilized the Newton Interpolation to make up the missing data[/align][align="left"]v Compared the actual data with the outcomes from our model and the results of curve-fitting proved the feasibility of the epidemic model [/align][align="left"]v applied the Cellular Automata Model to predict the spread of disease with Matlab[/align][align="left"]v applied hierarchical cluster to select the specific airport and determined the transport routes by Hamilton Circuit[/align][align="left"]Elevator Transportation Model Based on Floor Priority and Partition Optimization Jun.2014[/align][align="left"]Mathematical Competition in Beijing Jiaotong University[/align][align="left"]v Built three models respectively based on priority, elevator partition and principles of directness[/align][align="left"]v Wrote programs with DEV C++ for the three models, input 20 sets of data to compare the results and determined the optimal design[/align][align="left"]v Varied part of the program in the DEV C++ and applied analytic hierarchy process to calculate the weight to obtain the priority order of the factors[/align][align="left"]v Applied the model to real cases and proposed some suggestions[/align][align="left"]COURSE PROJECTS [/align][align="left"]Issue and Set price to a Share Warrant Jan.2015[/align][align="left"]v Derived an effective option pricing model from the Black-Scholes model based on the put-call parity theory[/align][align="left"]v Applied the pricing model to a stock from the market, calculated the equations and the probability of profit and the results proved to be greater than 85%. [/align][align="left"]Predict the Stock Trend May.2014-May.2015[/align][align="left"]BP Neural Network[/align][align="left"]v Determined the indexes and connections of the BP neural network and processed the input indexes as training samples and test samples[/align][align="left"]v Practiced the historical data of CSI 300 on MATLAB and predict the trend in the next 3 weeks [/align][align="left"]ARIMA Model [/align][align="left"]v Used ADF examination and residual series to make sure the ARIMA model was applicable[/align][align="left"]v Extracted historical data of CSI 300 and establish an ARIMA model on Eviews to predict the future trend[/align][align="left"]v Analyzed the results and the fitting was proved feasible[/align][align="left"]HONORS [/align][align="left"]Merit Student in BJTU Sept.2013--Jul.2014[/align][align="left"]Third Place Winner in Logistics Design Contest in BJTU Dec.2014[/align][align="left"]Won the second Prized in the school-level Mathematical Competition Apr.2014 [/align][align="left"]Second Scholarship Recipient in BJTU Sept.2012-Jul.2014[/align][align="left"]Second Prize in the Physics Contest for College Students in Beijing Dec. 2013[/align][align="left"]EXTRA-CURRICULAR ACTIVITIES [/align][align="left"]Summer Intern, Meituan.Com, Beijing, China Jul.-Sept.2015[/align][align="left"]v Collected operational data of multiple stores, input and processed the data and provided support for the subsequent projects[/align][align="left"]v Contributed to the analysis of the trend in popular product and proposed proper suggestions [/align][align="left"]Volunteer, APEC Leaders Meeting Oct.-Nov.2014[/align][align="left"]Volunteer, Beijing International Marathon Oct. 2014[/align][align="left"] [/align][align="left"]SKILLS AND INTERESTS [/align][align="left"]v Proficiency in Mathematics，Latex and computer language including C/C++ programming, R, Mathematica, and MATLAB.[/align]
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