Data Analysis Resume

SUMMARY

Strong analytical skills with great attention to detail and fluent in both SQL and Python.
A highly motivated self - starter with strong initiative looking to learn and grow in a data analysis career.

TECHNICAL SKILLS

Programming Language and Software: SQL, Python, Jupyter Notebook, Java, Matlab

Data visualization: NumPy, SciPy, Matplotlib, Pandas

Statistics: A/B Testing, Regression

Language: Native Mandarin

PROFESSIONAL EXPERIENCE

Confidential

Data Analysis

Responsibilities:

Programmed Python script to explore behavioral pattern of bike share users in three major US cities
Built an interactive experience in the terminal to analyze and visualize descriptive statistics
Proposed instructional advice on possible improvements Motivate can accomplish from analysis results

Data Analysis

Confidential

Responsibilities:

Cleaned TMDB movie dataset using NumPy and Pandas in Jupyter Notebook
Concluded the most popular genres of movies with the most unique viewers
Visualized data related to the properties associated with movies that have high revenues with Matplotlib

e-Commerce Website

Confidential

Responsibilities:

Used statistical techniques to evaluate whether a change made to a website will create more value
Performed A/B test and constructed linear regression model to conclude significant factors on the page conversion rate
Demonstrated from multiple methods whether or not a decision to change should be made

ONLINE STORE DATA MANAGEMENT

Confidential

Responsibilities:

Performed data wrangling and information extraction using complex and advanced SQL queries
Provided management information like the most helpful sales representative and the time range of most transactions would occur in a day