Technical Consultant Resume Ithaca, NY - Hire IT People

SKILLS:

Proficient in: R, SAS, Python, SQL, STATA, JMP, VBA

Proficient in: Excel, Numbers, PowerPoint, Keynotes, Prezi, Mac/Windows operating system

Fluent in: Mandarin Chinese and English

EXPERIENCE:

Confidential, Ithaca, NY

Technical Consultant

Responsibilities:

Designed a seasonal ticket holders’ attendance boost strategy based on historical data
Constructed predicative models by analyzing 465,000 seasonal ticket holder data that include the holder’s attendance statistics, registration information and the games attended
Developed the Binomial Logistic Regression Model that predicts the attendance for a given seasonal ticket holder and decide if a person needs to be incentivized
Developed a Time Series Model that forecasts the general attendance for next 10 games; suggested that Spurs gives holders a promotion after the 4th game; suggestions accepted by client completely
Led three Stats graduates; mainly contributed on model selection and creation of R and SAS code
Presented finding and recommendations to client, Director of Graduate Studies, and faculties of MPS Programs

Confidential, Ithaca, NY

Technical Consultant

Responsibilities:

Designed a transaction fraud prevention strategy based on historical data
Developed a logistic regression model by analyzing 437,000 credit card transactions data that include detailed information for each transaction, the spending profiles of customers, and an indicator of fraud
Methodologies Involved: Logistic Regression, K - Fold Cross-Validation, Detecting the threshold for approval of the transaction
In charge of communication with advisors, variable & model selection and creation of R and SAS code

Confidential, Berkeley, CA

Technical Consultant

Responsibilities:

Analyzed fMRI dataset with 11K variables and 1500 observations; constructed a model that reduced computation time by 95% from 600 min to 30 min with sacrificing little accuracy
Tested over 10 statistical techniques, such as Lasso, Ridge, Boosted Decision Trees, K-nearest-neighbors, Generalized Linear Model, Linear/quadratic discriminant analysis
Teamed with two Math undergraduates; mainly contributed on model selection and creation of R code

Confidential, Berkeley, CA

Technical Consultant

Responsibilities: