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Arizona State University

Fu-jen Catholic University

Data Engineer

Jae Huang

AGB Nielsen

Data Operation Engineer

•	Optimized applications on operation automating process, reduced data processing time 50-70% for each project
•	Designed operation dashboard to keep track on data collecting progress, built a Python-based data pipeline to keep updating new coming data and data integrity
•	Supported on consuming behavior analysis project with large data processing and user predictive analysis; designing an application to auto-generate statistic report for ad effect, aiming to reduce days of work to hours
•	Standardized the quarterly-recurring sampling work by designing an sampling application, simplified 50% of the steps

•	Built marketing dashboard with Advanced Excel, SQL and Google Analytics for a weekly average of 80 new patients from various sources Electronic health record system, Google Business Insight, Zocdoc etc. 
•	Leveraged R to design performance report to measure patient retention rate and improved from 4 to 8 visits per patient in 2018
•	Optimized patient review on 4.5+ rating by discovering provider's strength and improving weakness on Excel analysis
•	Delivered patient volume report with data visualization to stack holder to understand business efficiently, discovered seasonal pattern that increased 20% of new patient 

Chung Ying Physical Therapy & Acupuncture

Business Analyst

•	Developed course-job recommendation model for APD training company by helping users choose courses to match their  career goal, and calculate the likelihood of getting a job based on users' educational background 
•	Used Selenium to crawl information from NYU CareerNet and NYU SPS school websites, reduced 90% processing time 
•	Processed 2, 000 jobs and 446 courses text files through Python for data preparation and prototypes design 
•	Quantified the similarity between course and job using different algorithm models tf-idf, LSI, etc. improved prediction accuracy from 30% to 67%. 
•	Determined the model to apply on the defining business problem by model selection technique KL Divergence 
•	Built and evaluated models to predict the probability of getting a job based on users' educational background

Autonomous Professional Development Summer Project

Data Analyst

•	Initiated KPI tracking system - Designed an easy-to-use dashboard to track the KPI achievement progress along with budget control; conducted an achievable timetable to reach the year goal. 
•	Implemented web analytics - Identified the demographic of the kindness community; optimized the retention on website by recognizing user behavior with Google Analytics. 
•	Constructed social media analytics - Using Python to build automatic generated social media report reducing 70% time on report; recognized the most effective Facebook fan page promotion; analyzed the cost and ad for fan page to support constructing the 2017 fall community growth plan.

Kindness.org

Business Analytics intern

•	Detected irregular web traffic and identified the leading cause by using Yahoo web analytics; kept sales run at 9M weekly 
•	Developed Facebook fan page growth strategy through social media marketing analysis; led to page likes increased 200, 000 in 5 months, engagement grew 476%, monthly sales grew 310%

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