Yu-Wei (Jacky) Chung
+1-480-***-**** ********@***.*** Portfolio, LinkedIn, GitHub Tempe, Arizona EXPERIENCE
Data Science Intern November 2019-Present
MASTER ELECTRONICS (U.S. Market Leader in Electronic Components distributing), Phoenix, Arizona
• Mined and extracted order records using SQL and AWS and implemented customer segmentation via Python for developing dynamic demanding strategies; analyzed customer preference and built customer profiles by K-means clustering from 10M+ data
• Designed machine learning models (Logistic Regression, Random Forest) in Python to predict stockout ratio for inventory management and marketing strategy; improved forecasting accuracy by 10%
• Developed core business metrics to prototype analysis pipeline, and built six Tableau dashboards tracking user-retention metrics
• Leveraged knowledge: Python, TensorFlow, R, Tableau, MySQL, AWS Data Scientist February 2018-July 2018
DIRECTGO (Leading Online Shopping Agent in Taiwan), Taipei, Taiwan
• Integrated seasonality factors to existing data pipelines about the prediction of customer lifetime value and established a new advanced Time Series model in Python; achieved 5% sales growth
• Created A/B test plans and formulated optimal marketing strategies for a new vendor sales program; lifted conversion rate by 13%
• Expanded social media followers by 2x by monitoring the health of promoted ads, text analytics, topic modeling, time series analysis, and posts scraping using Python and R to locate most engaging topics and keywords for FB users
• Developed new KPIs to measure performances for two stakeholders, and built five Tableau dashboards to support marketing and product teams in real-time decision-making about production optimization and pricing
• Leveraged knowledge: Python, R, Tableau, MySQL, Excel, Google Analytics Data Analyst Intern June 2015-August 2015
HEXUN.COM (The Top Financial Online Media in China), Beijing, China
• Implemented Root-Cause Analysis (Bayesian Networks) for improving marketing performance by changing the App theme
• Saved 80% reporting time by defining user-engagement metrics (DAU, ARPU) and customer lifetime value using SQL for website and App, and by developing auto dashboards to track important metrics and KPIs
• Leveraged knowledge: Excel, MySQL
PROJECTS
Medium Website: https://medium.com/@jacky308082 (Concentration on Data Science and Data Analytics) Preciser - Fantasy Prediction Website October 2019-Present
• Deployed a website for NBA audience to evaluate and estimate players performance based on ten years records (1 million)
• Built a user-based recommendation system for Fantasy Basketball users to rate players and compare total ratings in trades
• Enhanced accuracy by 10% by designing models with Gradient Boosting Machines outperformed models from other websites
• Utilized: Python, D3.js, HTML/CSS/JavaScript, Flask, MySQL, Docker, AWS Customer Revenue in Google Merchandise Store January 2018-March 2018
• Built SVM and Random Forest models for Google to predict customer revenue in each order by developing more than 30+ effective features in automated feature engineering for more than 900k rows of transaction data
• The result had an accuracy of 0.85 and enhanced the effectiveness in analyzing each order
• Utilized: Python, R, Tableau
EDUCATION
Arizona State University, W. P. Carey School of Business, Tempe, Arizona August 2019-May 2020(expected) Master of Science in Business Analytics GPA: 4.00/4.00 National Central University, Taoyuan, Taiwan September 2018-June 2019 Master of Business Administration (M.B.A) GPA: 3.83/4.00 Soochow University, Taipei, Taiwan September 2013-June 2017 Bachelor of Economics GPA: 3.33/4.00
SKILLS
• Programming: SQL, Python (sklearn, XGBoost, H2O, Pandas, Numpy, NLTK, SciPy, Flask), R, HTML/CSS/JavaScript
• Database and Visualization: PostgresSQL, MySQL, MongoDB, Tableau, D3.js, Plotly, Seaborn, Matplotlib, ggplot2, Bokeh
• Distributed Computing and Deployment Tools: AWS (EC2, S3, EMR), Spark (SQL, ML), Hadoop, Hive, Docker, Git