En Li Email & Phone Number

Toronto, Ontario, Canada

Toronto, Ontario, Canada

Montreal, Canada Area

Montreal, Canada Area

- Initialized machine learning project by selecting among regression, classification and clustering algorithms based on a consideration of data structure, hypothesis and computation of 1000+ lines of text information resources, consistently reported model performances and findings with specific metrics (R squared, RMSE, accuracy) to upper-level managers- Streamlined modeling workflows using the pipeline, integrating the parallel computing techniques to optimize models with Python -… Show more - Initialized machine learning project by selecting among regression, classification and clustering algorithms based on a consideration of data structure, hypothesis and computation of 1000+ lines of text information resources, consistently reported model performances and findings with specific metrics (R squared, RMSE, accuracy) to upper-level managers- Streamlined modeling workflows using the pipeline, integrating the parallel computing techniques to optimize models with Python - Cleaned texts using natural language preprocessing (NLP) techniques such as tokenization and lemmatization, embedded texts using Word2Vec representation or tf-idf matrix transformation- Developed advanced statistical models to perform machine learning solutions and predictive modeling for researchers in text analysis fields Show less

Greater New York City Area

- Researched international markets (China and USA) for viable expansion opportunities for phone applications (Apps) industry- Designed questionnaires, discussion guides, observation instruments and logs to gather meaningful feedback from 200+ participants (e.g., university students) to perform primary qualitative and quantitative demand analysis of international markets' potential- Conducted a consumer behavior research on the usage of mobile education apps with 4 hypotheses based on… Show more - Researched international markets (China and USA) for viable expansion opportunities for phone applications (Apps) industry- Designed questionnaires, discussion guides, observation instruments and logs to gather meaningful feedback from 200+ participants (e.g., university students) to perform primary qualitative and quantitative demand analysis of international markets' potential- Conducted a consumer behavior research on the usage of mobile education apps with 4 hypotheses based on Technology Acceptance Model (TAM) to help identify loyal customers and predict the likelihood of customers buying a recommended product- Analyzed data using SPSS and presented results of segmentation, customer behavior patterns and potential factors (regression analysis)- Provided comprehensive marketing strategies that highlight the actionable insights combined with business implications, strategic and tactical options- Published research results and presented in 2016 Symposium on University Research and Creative Expression Show less

Master'S Degree, Information Science/Studies

Bachelor’S Degree, Marketing

Bachelor’S Degree, International Business/Trade/Commerce