Profile 03 00@2x

Jae Huang

Experienced data engineer with Python, database and data pipeline.     

Taipei,TW | New York,US

[email protected]



Python / R / Java

SQL: MySQL / SQLite / Postgresql
GUI: TKinter / PyQt

Data Manipulation

Data Cleaning / Data Standardizing  / Feature Engineer / Data Modeling / LargeData Handling / Data Visualization


macOS / Linux / Windows

BI Tool: Tableau / Google Data Studio

Self-learning: AWS / Docker / Airflow / MongoDB / Hadoop

Professional Experience

AGB Nielsen, Data Operation Engineer

Jul 2019 ~ Now | Taipei, Taiwan

  • 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
  • Standardized the quarterly-recurring sampling work by designing an sampling application, simplified 50% of the steps

Chung Ying Physical Therapy & Acupuncture, Business Analyst

Jan 2018 ~ Mar 2019 | New York, US

  • 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

Autonomous Professional Development Summer Project, Data Analyst

May 2018 ~ Aug 2018 | New York, US

  • 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, Business Analytics intern

Sep 2017 ~ Dec 2017 | New York, US

  • 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.

Yahoo, E-Commerce Marketing Specialist

Apr 2014 ~ Dec 2014 | Taipei, Taiwan

  • 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%


Arizona State University, MS Business Analytics, 2016 ~ 2017

GPA: 4.0
Client Project – Ports America Empty Container Analysis
  • Provide business insight into the company operating environment with Tableau and SQL.
  • Identify leading causes of the company resource wasting problem by using R and statistics tests.
  • Used machine learning model (e.g. random forest, regression, neural net work and SVM) to perform prediction.

Fu-jen Catholic University, BS Information Management, 2010 ~ 2014

Graduation Project
  • Develop Android based image voting app with Java

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