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Past
S4 @台達電子工業股份有限公司
2024 ~ Sekarang
Sr. Backend Engineer, Sr. Software Engineer, Backend Team Leader
Dalam satu bulan
It includes various applications, including each service via a message queue to communicate and share data. KaiStore backend To create an App Store for the world's most popular KaiOS applications, allowing KaiOS mobile users to download thousands of apps through KaiStore. This is a microservices architecture- based system, with the project utilizing GoLang for the API gateway layer, and Java SpringBoot to communication with the Cassandra database. It is capable of easy horizontal scalability and rapid responsiveness to serve tens of millions of KaiOS mobile users. To implement the app recommendation feature for KaiStore, collaborating
Java
Python
Spring Boot
Tidak bekerja
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
Tajen University
Bachelor Of Computer Science

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UI designer -UX
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Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Leadership
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Dalam tiga bulan
Data Engineer
Logo of AGB Nielsen.
AGB Nielsen
2019 ~ Sekarang
Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Tidak terbuka untuk peluang
Profesi
Data Engineer
Bidang Pekerjaan
Pengalaman Kerja
2-4 tahun
Management
Keterampilan
Python
R
Tableau BI
Machine Learning
Linux
MySQL
Java
BigQuery
Git
Shell Script
Unit Testing
Bahasa
Preferensi Pencarian Pekerjaan
Jabatan
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Tipe Pekerjaan
Full-time
Lokasi
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Tidak
Pendidikan
Institusi Pendidikan
Arizona State University
Jurusan
MS Business Analytics
Cetak
Profile 03 00@2x

Jae Huang

Experienced data engineer with Python, database and data pipeline.     

Taipei,TW | New York,US

  
[email protected]

Skills


Programming

Python / R / Java

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

Data Manipulation

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


Others

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

Kindness.org, 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%

Education

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


CV
Profil
Profile 03 00@2x

Jae Huang

Experienced data engineer with Python, database and data pipeline.     

Taipei,TW | New York,US

  
[email protected]

Skills


Programming

Python / R / Java

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

Data Manipulation

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


Others

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

Kindness.org, 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%

Education

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