Quantitative analyst able to use MS Excel and R. Capable of managing and organizing large data sets. Can use complicated quantitative models in order to calculate important business metrics, such as forecasting future revenue and expenditures. Capable of using and interpreting the following models: linear regression, binomial logistic, multinomial logistic, ordered logistic, binomial probit, multinomial probit, probit, and time series analysis. Have the ability to present the results of these models in graph form Can present the research results in a coherent and orderly manner.
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