1. Xinchao(Luke) Lu
xinchao0509@gmail.com|513-609-1733|https://www.linkedin.com/in/xinchao-lu/
Summary
2 years’ experience in software engineering, data analysis, and data visualization. Proficient at object-oriented
programming, database managing ,and data cleansing. Good at communicating with clients and getting requests
Skills: Python, Java, MySQL, JavaScript, Hadoop, Docker, Kubernetes, Tableau, Pyspark, Pentaho, Pandas, Microservices
Proficient with Linux, Bash, Git, and familiar with LaTeX, MATLAB
Professional Experience
Data Analyst Intern June – October 2018
GDS-services Shanghai, China
Identifying 10 products’ latent issues for increasing 50% product specification accuracy using statistical analysis with Python
Involving in using data parsers with Python to improve the efficiency of extraction from 1-day to 30 minutes
Doing data cleansing of all data files, visualizing those results and analyzing with outputs of data visualization
Present analysis results in a report with an explanation of tables and figures to clients without a technical background
Data Analyst Intern December – February 2018
HAIWAN Entertainment LLC New York, USA
Working with a team which aim to specify the target customers for different products by analyzing the behavior of
customers on the company’s website
Manage survey data and create new surveys as needed. Develop reports from surveys to share actionable insights with staff
Creating and managing the database, and ensure technical and functional designs meet business requirements
Communicating with the client for any requests and distributing all requirements to every group member with discussing
Education
Miami University
Bachelor of Computer Science May 2019 Oxford, OH
Relevant Course: Data Science with Python(A), Database Management System(A), Object-Oriented Programming(A), Big Data
Modeling & Analytics, Stochastic Modeling, Machine Learning
Academic Projects
Boston Housing Analysis
Performing linear regression of 508 Boston housing data with 15 features and predicting the targets with training data
Using performance metrics for regression to evaluate the model’s performance since prices are continuous numerical
Visualizing each feature against targets with Python’s pyplot function which makes the output easier to be analyzed
Predicting Boston housing price with analysis of visualized data and determining the performance of models
Twitter Analysis
Mining data of 36895 twitters from Twitter with Python and converting those data to JSON format for future analysis
Getting the frequency, popularity ,and time-frequency of words and analyzing the popularity of paired words
Visualizing all output of analysis for determining key features that influence the popularity and getting the result
New York Weather Analysis
Analyzing vehicular incidents in New York City with 900000 records of weather from the City of New York’s data website
with Hadoop
Generating the output for each vehicle indicates the total count per vehicle type whether the vehicle type was involved in
an incident
Senior Design Capstone Information System
Building a web application shows over 200 students’ in Miami University senior design
Using PHP, HTML to build front end, and JavaScript, Python for the backend
Presenting the project to clients in senior design gallery and explaining technical details for clients
