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De 4 a 6 años
6-10 años
10-15 años
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Taipei, Taiwan
Avatar of 張家銘.
Avatar of 張家銘.
Web Engineer @BlendVision
2023 ~ Presente
Senior iOS Developer / Web Developer
En un mes
arrange the Slack notification to notify the members of the dev team. Streaming I possess video streaming technologies like HLS and DASH , along with an understanding of DRM solutions such as FairPlay , and PlayReady . I can implement DRM video playback for commercial needs and further enhance it with image processing techniques. Others I have hands-on experience with Raspberry Pi , Bluetooth technology, and web development. Passionate about creating diverse tech applications and providing professional solutions. 工作經歷 BlendVision (KKStream), SepNow Developing a Video Player Module which is applied on an app within the
User Interface
Objective-C
Swift
Empleado
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
National Ilan University
Bachelor degree
Avatar of 呂學炘.
Avatar of 呂學炘.
Data Science @Alfred Labs.
2017 ~ Presente
En el plazo de dos meses
System. Auto-alarm system. EDUCATION University of Taipei, BS, Computer Science, 2012 ~ 2017 Transferred from the Mathematics department to the Computer Science department. The graduation thesis focused on analyzing user preference for phrases on the message board PTT. Mathematics Number theory, Calculus, Linear algebra, Abstract algebra, Probability theory, and Statistics. Computer Science Database Systems, Introduction to Machine Learning, Introduction to Image Processing , Introduction to Data Mining , Discrete Mathematics, Java, Data Structures, Digital System Design, Operating Systems, Algorithms, Digital Circuit Laboratory, Computer Network, System Programming, Assembly Language, Computer Architecture, Formal Languages and Autom...
Python
R
SQL
De 4 a 6 años
University of Taipei
Computer Science
Avatar of the user.
Avatar of the user.
Deep Learning Engineer @Asus 華碩電腦股份有限公司
2022 ~ Presente
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
En seis meses
C
C++
Python
Empleado
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立中山大學
資工工程學系
Avatar of the user.
Avatar of the user.
AI應用工程師 @碁仕科技
2018 ~ Presente
軟體工程師
En un mes
Python
Reinforcement Learning
Computer Vision
Estudiando
Intern / Interesado en trabajar a distancia
De 4 a 6 años
長榮大學
企管系

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Technical Skills
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Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
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Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Más de un año
Data Scientist
ASUS
2018 ~ Presente
Taipei, 台灣
Professional Background
Situación actual
Progreso en la búsqueda de empleo
Professions
Data Scientist
Fields of Employment
Software
Experiencia laboral
2-4 años
Management
Ninguno
Habilidades
Research
Data Visualization
Machine Learning
Image Processing
Deep Learning
Scikit-Learn
Matplotlib
Tensorflow
Pandas
Python
R language
Data Analysis
Crawler
Idiomas
English
Intermedio
Job search preferences
Posición
Data Scientist
Tipo de trabajo
A tiempo completo
Ubicación
A distancia
Interesado en trabajar a distancia
Freelance
Sí, soy un autónomo amateur.
Educación
Escuela
National Chiao Tung University
Mayor
Department of Industrial Engineering and Management
Imprimir

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

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.

Resume
Perfil

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

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.