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CATCHPLAY - FOR MOVIE LOVERS, BY MOVIE LOVERS.
Cheetah Mobile（獵豹移動）, Beijing
Coffee Time Studio
NIO (上海蔚來汽車), Shanghai
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Trend Micro, Taipei
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Avatar of 陳奕妤.
Avatar of 陳奕妤.
陳奕妤
Past
Senior Data Analyst @趨勢科技
・
2022 ~ Sekarang
Data Scientist, Data Analyst, Machine Learning Engineer
Dalam satu bulan
view APP usage - app usage tree view is designed to let users be able to easily get customer’s usage data. Skill : Microsoft SQL Server · Kusto Query Language (KQL) · Azure Databricks · Microsoft Azure Dashboard · Tableau · Microsoft Power BI · Data Cubes · pySpark · Git Data Analyst • Bank SinoPac OctNov 2022 Personalized recommendation system on official website. Using machine learning model to find the potential customers, total uplift 20% click rate and 6% conversion rate, find out the important features to help business stakeholders give the proper campaign to different customers. Integrate user's transaction data, online behavior data, interest
python
R
SQL
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
輔仁大學 Fu Jen Catholic University
・
統計資訊學系
Avatar of Jackie Lin.
Avatar of Jackie Lin.
Jackie Lin
Product Manager @PChome Online Inc, Taipei
・
2002 ~ 2006
Sr. Product Manager
Dalam dua bulan
Jackie Lin 8 years hand-on experience in digital product management Product design planning on mobile app & desktop web Cross-region communication co-operation Sr. Product Manager Taipei，TW [email protected] 工作經歷 NIO (上海蔚來汽車), Shanghai, Sr. Product Manager, Jun 2017 ~ AprActed a Product Owner to oversee digital product management on Discovery module including Content, Social, Recommendation Features & accompanying backend operation system on NIO app - Owned & planned product roadmap &strategy to meet business goal & operation requirements. Led cross function team to conduct fill lifecycle of product management
Product Management
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User Research
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Illinois Institute of Technology
・
Technical Communication

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Avatar of 葉居易.
葉居易
Data Scientist
ASUS
・
2018 ~ Sekarang
Taipei, 台灣
Latar Belakang Profesional
Status sekarang
Tahap pencarian kerja
Profesi
Data Scientist
Bidang Pekerjaan
Software
Pengalaman Kerja
2-4 tahun
Management
Tidak ada
Keterampilan
Research
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Image Processing
Deep Learning
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Tensorflow
Pandas
Python
R language
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Ya, saya adalah freelancer amatir.
Pendidikan
Institusi Pendidikan
National Chiao Tung University
Jurusan
Department of Industrial Engineering and Management
Cetak

JU-Yi YE 葉居易

3+ years of experience as a Data Scientist. Working with data analysis, machine learning, and data visualization in semiconductor or other technology fields.

E-mail: [email protected]        Mobile: +886 922528072

Education

Skill

2016 - 2018

National Chiao Tung University

Master of Industrial Engineering and Management

Thesis: Constructing Multi-Classification Model for TFT-LCD

Data Analytics

Machine Learning

Data Visualization

Statistics

2011 - 2016

National Taipei University of Technology

Bachelor of Industrial Engineering and Management


Python, Pandas, Numpy

R 

SQL

Work Experience

Data Scientist  •  ASUS

Sep 2018 - Present

Laptop Demand Forecast : 
Use supply chain information, business sales behavior, and external information to develop feature engineering, construct sales forecasting models, predict weekly demand, and provide inventory warning information. Help the company save NTD 7 billion in inventory costs.

Employee Care System :
Collect employee attendance records and access control records, construct a variety of anomaly detection systems.

Big Data Intern  •  Micron

Jul 2017 - Aug 2017

Using R language to build algorithms to filter outlier data that may affect other variables due to time dependence, and find out event point.
The accuracy of this algorithm is as high as 94%, which can increase the accuracy of data analysis for the company and save 28% of the time for manual judgment.

Ewant Data Analyst •  NCTU

Jul 2017 - Aug 2018

1. Using Python to construct an early warning model for predicting student performance in mid-semester.
2. Data analysis and automated report development.


Side Project

NBA Data Visualization

Dec 2020 - Present

Analyze interesting NBA statistics through data visualization on Instagram. nba_knowledge_plus

LinkedIn Data Crawler

Nov 2020 - Jan 2021

Collect student data on LinkedIn and build a career recommendation system. Help students see their future career development.

Cathay Big Data Competition 2nd Place

Sep 2017 - Jan 2018

Use insurance data to construct an insurance recommendation system and predict claims risk, the accuracy is higher than 93%.

Automated Optical Inspection

GigaByte

Jul 2016 - Jun 2018

Using Python OPENCV for image processing and decision tree algorithm development. Uses Machine Inspection to replace Manual Inspection, which could help the company on saving labor costs and improve the accuracy of detection.

CV
Profil
Cetak

JU-Yi YE 葉居易

3+ years of experience as a Data Scientist. Working with data analysis, machine learning, and data visualization in semiconductor or other technology fields.

E-mail: [email protected]        Mobile: +886 922528072

Education

Skill

2016 - 2018

National Chiao Tung University

Master of Industrial Engineering and Management

Thesis: Constructing Multi-Classification Model for TFT-LCD

Data Analytics

Machine Learning

Data Visualization

Statistics

2011 - 2016

National Taipei University of Technology

Bachelor of Industrial Engineering and Management


Python, Pandas, Numpy

R 

SQL

Work Experience

Data Scientist  •  ASUS

Sep 2018 - Present

Laptop Demand Forecast : 
Use supply chain information, business sales behavior, and external information to develop feature engineering, construct sales forecasting models, predict weekly demand, and provide inventory warning information. Help the company save NTD 7 billion in inventory costs.

Employee Care System :
Collect employee attendance records and access control records, construct a variety of anomaly detection systems.

Big Data Intern  •  Micron

Jul 2017 - Aug 2017

Using R language to build algorithms to filter outlier data that may affect other variables due to time dependence, and find out event point.
The accuracy of this algorithm is as high as 94%, which can increase the accuracy of data analysis for the company and save 28% of the time for manual judgment.

Ewant Data Analyst •  NCTU

Jul 2017 - Aug 2018

1. Using Python to construct an early warning model for predicting student performance in mid-semester.
2. Data analysis and automated report development.


Side Project

NBA Data Visualization

Dec 2020 - Present

Analyze interesting NBA statistics through data visualization on Instagram. nba_knowledge_plus

LinkedIn Data Crawler

Nov 2020 - Jan 2021

Collect student data on LinkedIn and build a career recommendation system. Help students see their future career development.

Cathay Big Data Competition 2nd Place

Sep 2017 - Jan 2018

Use insurance data to construct an insurance recommendation system and predict claims risk, the accuracy is higher than 93%.

Automated Optical Inspection

GigaByte

Jul 2016 - Jun 2018

Using Python OPENCV for image processing and decision tree algorithm development. Uses Machine Inspection to replace Manual Inspection, which could help the company on saving labor costs and improve the accuracy of detection.