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YICONG ZHUDA A A A Y · S A C A
525 Seymour Road Apt B6, Charlottesville VA 22903
 (+01) 434-227-1930 |  yz8bq@virginia.edu
Education
University of Virginia Charlottesville, VA
5.S. S A C , G A: .99/ . Sep. - Exp. May
Main Courses: Multivariate Statistics, Experimental Design, Statistical Consulting, Actuarial Statistics, Linear Models, Time Series
Fudan University Shanghai, China
B.A. EC C (5A E A CA EC C C CE A ), G A: . / . Sep. - July
MainCourses: MathematicalAnalysis, LinearAlgebra, MathematicalStatistics, Econometrics, TimeSeriesAnalysis, DynamicOptimiza-
tion, Stochastic Processes, Diferential Equations, Investment Principle, Money and Banking
Qualifications & Skills
Data Analysis R, MATLAB, Python, SAS, SQL, Weka and Stata (Certificate of SAS Base Program)
Other PC skills C/C++, JAVA, Excel VBA, Excel @Risk, Latex
CFA Level II Candidate
Internship Experience
SUNGARD Shanghai, China
VA A SY E 1 E June - Aug.
• Developed fixed-rate bonds, floating rate bonds and option-embedded bonds valuation system.
• Tested, corrected and maintained the valuation system (R, MATLAB, PL/SQL).
• Organized test plans based on project requirement, assigned defects, provided system explanation documentation.
Survey Ofice of the National Bureau of Statistics Hefei, China
DA A P CE June - Sep.
• Established and maintained databases based on relevant statistical questionnaires.
• Constructed mathematical models, implemented data analysis, data explanation, and data visualization.
ASUSTek Computer Inc. Shanghai, China
5A E 1 E Sep. - Dec.
• Organized the computer sales competition in Fudan University(recruitment, arrangement, market, sale).
• Collected the electronic products’ sales information from market researches per week (e.g., prices, market occupancy).
• Filed and analyzed the data to find the sales trends of products, and reported the results to Region Sales Manager directly.
Academic Research
Whole Life Insurance Analysis based on Gompertz–Makeham Law of Mortality Charlottesville, VA
4A A E: 5AT4AB/R Apr. - May
• Designed the pricing strategy for whole life insurance, improved the model under six scenarios, i.e. financial crisis.
• Generated expected life spans for insurance candidates (GoMa Law), formulated the arrival of policy buyers as Poisson process.
• Simulated risk-free interest rate and return of various portfolios based on time series models and CAPM.
Biomarkers for Early Stage Diabetes Detection Charlottesville, VA
4A A E: 5AT4AB/R Feb. - Mar.
• Detected the biomarkers to classify subgroups of patients who are in diferent diabetes stages.
• Conducted data visualization and dimension reduction on functional data of bio-indicators for subgroups.
• Constructedlinearmodel, logisticmodelandminimalmodeltoidentifytheparametersthatexplaincharacteristicswithineachgroup.
• Achieved above 90% classification accuracy, based on indicators detected (SVM, C4.5, Random Forest).
Wine Quality Analysis based on objective attributes of thousands of wines Charlottesville, VA
4A A E: R Nov. - Dec.
• Applied PCA, Hierarchical clustering methods to analyze the relationship between objective attributes.
• Built the optimal reduced linear model (AIC), and filtered factors to increase the accuracy of classify the wine quality (LDA).
Determinants of Divorce: Empirical analysis of divorce rate based on panel data Shanghai, China
4A A E: S A A Mar. - June
• Developed a theory to explain the rising divorce rate in China based on cost-benefit analysis of divorce.
• Implemented Pooled OLS, Random-efects model and Fixed-efects model to analyze the panel data of China, proved the theory.
2A A Y , Y1CO6G Z0U · RÉ É

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YiCong_CV_data_analyst (1)

  • 1. YICONG ZHUDA A A A Y · S A C A 525 Seymour Road Apt B6, Charlottesville VA 22903  (+01) 434-227-1930 |  yz8bq@virginia.edu Education University of Virginia Charlottesville, VA 5.S. S A C , G A: .99/ . Sep. - Exp. May Main Courses: Multivariate Statistics, Experimental Design, Statistical Consulting, Actuarial Statistics, Linear Models, Time Series Fudan University Shanghai, China B.A. EC C (5A E A CA EC C C CE A ), G A: . / . Sep. - July MainCourses: MathematicalAnalysis, LinearAlgebra, MathematicalStatistics, Econometrics, TimeSeriesAnalysis, DynamicOptimiza- tion, Stochastic Processes, Diferential Equations, Investment Principle, Money and Banking Qualifications & Skills Data Analysis R, MATLAB, Python, SAS, SQL, Weka and Stata (Certificate of SAS Base Program) Other PC skills C/C++, JAVA, Excel VBA, Excel @Risk, Latex CFA Level II Candidate Internship Experience SUNGARD Shanghai, China VA A SY E 1 E June - Aug. • Developed fixed-rate bonds, floating rate bonds and option-embedded bonds valuation system. • Tested, corrected and maintained the valuation system (R, MATLAB, PL/SQL). • Organized test plans based on project requirement, assigned defects, provided system explanation documentation. Survey Ofice of the National Bureau of Statistics Hefei, China DA A P CE June - Sep. • Established and maintained databases based on relevant statistical questionnaires. • Constructed mathematical models, implemented data analysis, data explanation, and data visualization. ASUSTek Computer Inc. Shanghai, China 5A E 1 E Sep. - Dec. • Organized the computer sales competition in Fudan University(recruitment, arrangement, market, sale). • Collected the electronic products’ sales information from market researches per week (e.g., prices, market occupancy). • Filed and analyzed the data to find the sales trends of products, and reported the results to Region Sales Manager directly. Academic Research Whole Life Insurance Analysis based on Gompertz–Makeham Law of Mortality Charlottesville, VA 4A A E: 5AT4AB/R Apr. - May • Designed the pricing strategy for whole life insurance, improved the model under six scenarios, i.e. financial crisis. • Generated expected life spans for insurance candidates (GoMa Law), formulated the arrival of policy buyers as Poisson process. • Simulated risk-free interest rate and return of various portfolios based on time series models and CAPM. Biomarkers for Early Stage Diabetes Detection Charlottesville, VA 4A A E: 5AT4AB/R Feb. - Mar. • Detected the biomarkers to classify subgroups of patients who are in diferent diabetes stages. • Conducted data visualization and dimension reduction on functional data of bio-indicators for subgroups. • Constructedlinearmodel, logisticmodelandminimalmodeltoidentifytheparametersthatexplaincharacteristicswithineachgroup. • Achieved above 90% classification accuracy, based on indicators detected (SVM, C4.5, Random Forest). Wine Quality Analysis based on objective attributes of thousands of wines Charlottesville, VA 4A A E: R Nov. - Dec. • Applied PCA, Hierarchical clustering methods to analyze the relationship between objective attributes. • Built the optimal reduced linear model (AIC), and filtered factors to increase the accuracy of classify the wine quality (LDA). Determinants of Divorce: Empirical analysis of divorce rate based on panel data Shanghai, China 4A A E: S A A Mar. - June • Developed a theory to explain the rising divorce rate in China based on cost-benefit analysis of divorce. • Implemented Pooled OLS, Random-efects model and Fixed-efects model to analyze the panel data of China, proved the theory. 2A A Y , Y1CO6G Z0U · RÉ É