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Programming skill : Python, R, SAS Programming, SQL, Tableau

Location:
Boston, Massachusetts, United States
Posted:
August 20, 2018

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Resume:

Jou-Tzu (Rose) Kao

Boston MA ac6qx1@r.postjobfree.com 765-***-****

PROFILE

• Enthusiastic analyst proficient in using R and Python to create various machine learning models to analyze data. Uncovering the secrets that hidden by the digits, visualizing the observations to develop creative solutions and reliable decisions.

• Business strategist with 3 years of teaching experience in finance and accounting, with strong communication skills with the ability to exchange ideas openly and effectively

• Programming language and software: Python, R, SAS Programming, SQL, Tableau. EDUCATION

Purdue University, Krannert School of Management

Master of Business Analytics and Information Management West Lafayette, IN

May 2018

• Passed CFA level I August 2018

Soochow University

Bachelor of Business Administration, Major in Business Management, GPA 3.8/4.0 Taipei, Taiwan

June 2014

DATA ANALYSIS PROJECTS

Airbnb House Pricing Forecasting

• Forecasted Airbnb House Pricing by creating regression model (Linear, Lasso, Ridge, and Knn) in Python

• Combined with customer review sentiments analysis to check uncontrollable factors effects on the house price.

Forecasting Stock Trend by 10-K report

• Collected top 50 companies for each industry 10-K reports obtained market risk and management discussion section, using Python to do sentiments analysis.

• Created a prediction model combine digits and financial ratios on the 10-K report and sentiment analysis of the description of company operations.

R-shiny DSS: Blood Donation Prediction

• Used machine learning techniques in R to predict who are the potential blood donators.

• Built shiny app for different hospital blood demand to dig out the blood resource more efficiently. R-shiny DSS: Credit Risk Prediction for Banking Loan

• Accelerated the credit evaluation for loan application, developing evaluation model by using Random Forest, Logit Regression and KNN in R.

• Provided shiny-app to let the user modify their risk preference to give a customized credit risk evaluation. Chicago Crime Prediction/Visualization

• Incorporated with weather data to create the model to predict crime in Python.

• Data mining detect crime patterns, providing essential information to educate citizens to protect themselves. PROFESSIONAL EXPERIENCE

Purdue University, Graduate Student Researcher for Industry Partner Demand Prediction for Liquefied Petroleum Gas Project West Lafayette, IN

Oct 2017 – Feb 2018

• Collaborated with a industry partner and built regression models (Linear, Ridge, and SVR) in Python to forecast the future demand of LPG achieving an absolute mean error of 5%.

• Explored the possibility to use empty ship movement to predict the future oil transport amount and arrived at positive results.

Soochow University

Teaching Assistant

Taipei, Taiwan

August 2014 – June 2017

• Prepared business department projects, case studies, and research papers as a Research assistant

• Developed host symposium for Asian Logistics Round Table conference by arranging catering services and acting as translator for 10+ foreign speakers

• Planned annual Taiwan Stock Exchange Corporation special event program for 3 years -- invited finance field celebrities in Taiwan to act as hosts and guest speakers



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