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Avatar of 廖昱程.
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Customer Engineer @iKala 愛卡拉互動媒體股份有限公司
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Within two months
Migo Yu-Cheng Liao NLP Engineer & Software Engineer | Interested in Sentiment Analysis and Social Computing Taipei,Taiwan [email protected] Work Experiences Naturint., NLP Scientist/Sr. Software Engineer, June/2018 – Present •Introduced and optimized the NLU model for our virtual assistant. •Responsible for content design, NLU model, data analysis, and UX optimization. •Executed NTD 20 million AI solution, which is the first virtual assistant by ChatBot in the aviation industry in Taiwan and it was released in September•Performed analysis and in-depth reviews of virtual assistants to improve product and troubleshooting
nlp machine learning
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4-6 years
國立中央大學
認知與神經科學所
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Avatar of Lo Tsun Lam, Wilson.
Lead Software Engineer @Auralabs
2023 ~ Present
Project Lead / Tech Lead / Team Lead / Technical Manager
Within three months
team leads and engineers to maintain Freehunter System including Frontend, Backend, Cloud Infrastructure, BI Tool. Product Leader of all teams (Tech, Design, BD, SEO) to research, re-design, and re-vamp the Freehunter 2.0 including tech stack, design flow, business model, and SEO strategy. Full Stack & NLP chatbot engineer • Asiabots 一月十二月 2019 Work with CTO to execute the R&D project. Enhance and grade company tech assets. Deploy a working prototype to show the R&D results. Work individually as well as help teammates with Technica. Collaborate with
React.js
TypeScript
AWS
Employed
Full-time / Interested in working remotely
4-6 years
Hong Kong Baptist University
Computer Science
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Avatar of Lewis Chang.
Senior Backend Engineer @Appier 沛星互動科技
2022 ~ Present
軟體工程師
Within one month
QA, etc.) - Coached junior developers for both onboarding and enhancing code quality. - Introduced typing system by Typescript for better maintainability. - Migrated frontend framework from AngularJS to Angular. Software Engineer • AI4quant MaySepUsed NLP model and image processing help E-Commerce client to eliminate duplicate products. - Assessed NLP models for time series data. - Studied the state-of-the-art DL models like Efficient-Net, Transformer-XL. - Built a mobile app to receive data from various wearable devices via blue-tooth connection for monitoring user's health condition by DL models. AI Algorithm Development Engineer
Python
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Not open to opportunities
Full-time
4-6 years
National Central University
Department of Optics and Photonics
Avatar of 黃竫玟.
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Past
Project Leader @Akatsuki Taiwan Inc
2018 ~ 2021
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
More than one year
Inc MarOctTaipei, Taiwan Experienced with lead game designer. Design suitable campaign contents for users, make optimizing proposals , debug release version/content. Use Jira to track bug situations, Unity for adjusting game proposals and debugging. Use Github & Sourcetree for modifying game content data. Linguist of Chinese NLP Sinequa JunDecParis, France Linguistic Engineer Improve B2B search engine performance in Traditional Chinese. Enlarge vocabulary database . Chinese Teacher Rencontre et Culture France Asiatique Association (RCFA) SepJun 2014 Paris, France Teach high school students how to write and read Traditional Chinese. Make suitable teaching contents. EducationInstitut
Public Speaking
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Research
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4-6 years
Institut national des langues et civilisations orientales
Natural Language Processing
Avatar of 李慕全(MuChuan Li).
Avatar of 李慕全(MuChuan Li).
Past
Service Provider @Taron Solutions Limited
2023 ~ 2023
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
Within one month
抓取金融新聞,將繁體文章標題與內文透過語言轉換工具(opencc)轉為簡體,最終使用情感分析工具(snownlp)進行股市漲跌分析。 技術:NLP、Beautifulsoup、 opencc 、 snownlp 、 Matplotlib 台灣景氣指標預測模型 side project 使用深度學習框架(Pytorch)自行搭建預測模型,以各式台灣景氣指標當作輸入,輸出未
Machine Learning
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Pytorch/Tensorflow
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4-6 years
國立臺北科技大學
資訊工程
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Present
Software Engineer
Within one month
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
Employed
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4-6 years
國立台灣大學
生物產業機電工程所
Avatar of 謝明翰.
Avatar of 謝明翰.
Past
後端工程師 @Canner (易開科技)
2023 ~ 2024
Senior Backend Engineer
Within one month
產品數據中台,專注於新功能開發、問題排查,並致力於優化團隊的開發流程。參與公司開源專案 accio 的 DSL parser 開發,負責開發 ChatGPT 自然語言獲取數據的 Plugin。 #Node.js #Typescript #Data Modeling #GraphQL 後端工程師 愛酷智能科技 AccuHit AI technology company 九月三月 2023 Taipei, Taiwan 主導團隊升級 PHP
Node.js / Express.js
Git-flow
Golang
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
東海大學 Tunghai University
資訊工程

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Data Scientist
Logo of Taboola Taiwan .
Taboola Taiwan
2021 ~ Present
Taiwan, 台灣
Professional Background
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Employed
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Data Scientist
Fields of Employment
Information Services
Work experience
2-4 years
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Skills
English
Python
R
tensorflow
Data Mining
Data Science
Data Visualization
DeepLearning
Scikit-Learn
Japanese N1
Recommendation System
Machine Learning
SQL
Hadoop
Hive
Spark
Languages
English
Professional
Japanese
Fluent
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Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
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Full-time
Locations
Taipei, 台灣
Remote
Interested in working remotely
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Educations
School
國立清華大學 National Tsing Hua University
Major
Service Science(Data Analyze & Information System)
Print

Wqslpmty9poyhqozyew7

陳宣佑 HsuanYu CHEN

From the background of statistics in NCCU, Yu graduated from his master degree in Institute of Service Science in NTHU, with a major module of business data analytics. He has 4 year experience of Python and R in his college projects and 6 internships, including chatbot, comdceputer vision, time series forecast, recommendation system, customer clustering / prediction, and NLP etc. His thesis focuses on improving literature review efficiency with semi-supervised learning on a small number of PDF data. Compared to normal CS background students, Yu not only has solid programming skills with statistical concepts but also great communication skills due to the previous bilingual learning environment when exchanging to Japan. 

Intern & Research Assistant

LINE, TECH FRESH  [R, Python, Hive, Spark, K8S]                                      Jul 2020 - Jun 2021

    -     Check raw data quality and source back to KR/JP data source to improve data quality

    -     EDA on large scale EC web record with pySpark, SQL to find insight

    -     Data visualization report & R dashboard with K8S

    -     Recommendation API service from scratch, including algorithm, ETL, API deployment, metrics

    -     Recommendation related metrics study, documentation from biz, model, UX aspects

CRUXOVER, Data Engineer  [Python, R, Azure]                                        Oct 2019 - Sep 2020

    -     Recommendation system with spark.ml

    -     Python & R tutorial design

    -     Potential Customer Prediction with data pipeline using Azure

    -     Refactor Python feature engineering code into SQL, saving 80% computation time

    -     IoT data engineering & code refactor

NTHU, Research Assistant of SDG project  [Python]                               Jun 2019 - Dec 2019

    -     Research various deep learning embedding technique in NLP 

    -     Web crawling of online journal paper

InQuartik, NLP Assistant Engineer (Summer Intern)  [Python]             Jul 2019 - Sep 2019

    -     Japanese English translation algorithm NLP research

Cinnamon, Computer Vision Researcher (Summer Intern)  [Python]  Jul 2019 - Sep 2019

    -     Build a web AI application which can classify over 100 categories of NIKE shoes

    -     Integrate front-end & model with python flask, numpy, pandas

    -     Design marketing plan and pitch this AI product to CEO

    -     Independent research of CV algorithm for better image segmentation performance

IProspect, Data Consultant/ Data Analyst [Python, R]                          Feb 2019 - Jun 2019

    -    Data cleaning & Feature engineering of large scale makeup shopping data 

    -    Applied Xgboost algorithm to predict probability of buying each category of makeup for each customer  

    -    Applied Cspade association algorithm to mine customer behavior and give recommendations to ad 

Gigabyte, Data Science Intern [Python]                                                  Aug 2018 - Jun 2019

    -     Build customer & inner-service chatbot from scratch

    -     Build automated program to produce daily recognition data analysis report with visualization.

    -     Linux OS Python environment building, Gitlab code version control

    -     App/ Software interface English/ Japanese translation

AIU, Japanese Learner Quantitative Research Statistics Assistant   Dec 2017 - Jul 2018

    -    R programming & Statistics Model Teaching

    -    Give advice of how to quantitatively analyze learners' result

Course Project

[Business Analytics with Time Series] - T. S. Prediction & Dashboard               Dec 2020

    -    Fit & select various time series model for explain & prediction purpose

    -    Build a dashboard with R of real-time prediction & customer statistics

[Business Analytics with Data Mining] - Video Platform Customer Tagging     Jun 2020

    -    Predict suitable plan for free user

    -    Predict user that may cancel in the next period based on behavior feature

[Text Mining] - NLP based Song Recommendation                                               Jun 2019

    -    Use Google Universal Sentence Encoding to recommend song with lyrics

[Side Project] - SET News WordCloud Chatbot                                                      Apr 2019

    -    Real time crawling of web data through user's query

    -    Build back-end system with cloud server Heroku and Python web framework "flask"

    -    Apply jieba package with pandas' vector computation to speed up reply time

[Big Data Analysis] - Gamer Shopping & Deposit Recommendation System   Dec 2018

    -    Data cleaning & Feature engineering of over 1,000,000 deposit, item shopping, login data

    -    Cluster user behavior with EM machine learning algorithm and make marketing plan for each group

    -    Build a recommendation system in Python to implement collaborative filtering (Test Accuracy: 90%).

         (It was build as a web application with Flask, HTML, Jinja. It can be as designed as a API for game system)

[Machine Learning] - Twitter Text Mining & Neural Network Emoji Predict     Jun 2018

    -    Stream over 30000 text data with Twitter API and process the text data

    -    Reduce dimension with t-SNE algorithm and plot the vector relation of emoji 

    -    Predict emoji based on text with bag-of word and DNN, Xgboost.

[Econometrics] - Mango Pricing Time Series Analysis [R]                                      Jun 2017

    -    Collect fruit transaction data from public platform and crawl historical weather data

    -    Statistics test on various time variable to find significant ones

    -    Write into statistics report of how pricing of mango can be forecasted by my model

[Psychology Digital Technics] - Dcard Web Crawler & Text Mining [R]                Jun 2017

    -    Stream articles data from different forum and data cleaning

    -    Visualize word using behavior for different gender with wordcloud

         (Males have more word about 'myself',, females have more word about "my boyfriends")

Education

National Tsing Hua University, Service Science, Master                  Feb 2019 - Jun 2021

    -    Master degree of Service Science with major of information system & data analytics

    -    Course including quantitative and qualitative analysis method

Akita International University, Exchange Student                           Sep 2017 - Aug 2018

    -    Represent NCCU as exchange student, studying global business, machine learning, information science

    -    Language Exchange program as English, Chinese teacher

National Cheng Chi University, Statistics, Bachelor                       Sep 2014 - Jan 2019

    -    Course from basic to advance statistics, such as ANOVA, mathematical statistics.

Skills


Programming

Python: sklearn, tf, flask, pyspark,   jieba, gensim, etc

R: ggplot, dplyr, various statistics         model etc

SQL: MsSQL, NoSQL, HiveQL, SparkSQL


Language

English

    -    TOEIC 945 [2018/7]

    -    TOEFL 97 [2016/9]

Japanese

    -    N1 152 / 180 [2018/7]


Online Course

Coursera

    -    Natural Language Processing

    -    Sequence Model (deeplearning)

    -    Applied Machine Learning

    -    Bayesian Statistics 

Extracurricular Activities

NCCU Recruit Month [Annual Event],  Marketing member               Dec 2016 - Mar 2017

    -    Write Facebook Articles to promote each company to students

    -    Design virtual events to let students know more about the content about our event

    -    Collect questionnaires and visualize with  R's ggplot2.

NCCU Statistics Camp 7th, Marketing & Public Relation leader         Apr 2016 - Jul 2016

    -     Write Facebook Articles to promote the camp to high school student (Finally over 130 students enrolled)

    -     Track View data from Facebook backend to customize the article content

Resume
Profile

Wqslpmty9poyhqozyew7

陳宣佑 HsuanYu CHEN

From the background of statistics in NCCU, Yu graduated from his master degree in Institute of Service Science in NTHU, with a major module of business data analytics. He has 4 year experience of Python and R in his college projects and 6 internships, including chatbot, comdceputer vision, time series forecast, recommendation system, customer clustering / prediction, and NLP etc. His thesis focuses on improving literature review efficiency with semi-supervised learning on a small number of PDF data. Compared to normal CS background students, Yu not only has solid programming skills with statistical concepts but also great communication skills due to the previous bilingual learning environment when exchanging to Japan. 

Intern & Research Assistant

LINE, TECH FRESH  [R, Python, Hive, Spark, K8S]                                      Jul 2020 - Jun 2021

    -     Check raw data quality and source back to KR/JP data source to improve data quality

    -     EDA on large scale EC web record with pySpark, SQL to find insight

    -     Data visualization report & R dashboard with K8S

    -     Recommendation API service from scratch, including algorithm, ETL, API deployment, metrics

    -     Recommendation related metrics study, documentation from biz, model, UX aspects

CRUXOVER, Data Engineer  [Python, R, Azure]                                        Oct 2019 - Sep 2020

    -     Recommendation system with spark.ml

    -     Python & R tutorial design

    -     Potential Customer Prediction with data pipeline using Azure

    -     Refactor Python feature engineering code into SQL, saving 80% computation time

    -     IoT data engineering & code refactor

NTHU, Research Assistant of SDG project  [Python]                               Jun 2019 - Dec 2019

    -     Research various deep learning embedding technique in NLP 

    -     Web crawling of online journal paper

InQuartik, NLP Assistant Engineer (Summer Intern)  [Python]             Jul 2019 - Sep 2019

    -     Japanese English translation algorithm NLP research

Cinnamon, Computer Vision Researcher (Summer Intern)  [Python]  Jul 2019 - Sep 2019

    -     Build a web AI application which can classify over 100 categories of NIKE shoes

    -     Integrate front-end & model with python flask, numpy, pandas

    -     Design marketing plan and pitch this AI product to CEO

    -     Independent research of CV algorithm for better image segmentation performance

IProspect, Data Consultant/ Data Analyst [Python, R]                          Feb 2019 - Jun 2019

    -    Data cleaning & Feature engineering of large scale makeup shopping data 

    -    Applied Xgboost algorithm to predict probability of buying each category of makeup for each customer  

    -    Applied Cspade association algorithm to mine customer behavior and give recommendations to ad 

Gigabyte, Data Science Intern [Python]                                                  Aug 2018 - Jun 2019

    -     Build customer & inner-service chatbot from scratch

    -     Build automated program to produce daily recognition data analysis report with visualization.

    -     Linux OS Python environment building, Gitlab code version control

    -     App/ Software interface English/ Japanese translation

AIU, Japanese Learner Quantitative Research Statistics Assistant   Dec 2017 - Jul 2018

    -    R programming & Statistics Model Teaching

    -    Give advice of how to quantitatively analyze learners' result

Course Project

[Business Analytics with Time Series] - T. S. Prediction & Dashboard               Dec 2020

    -    Fit & select various time series model for explain & prediction purpose

    -    Build a dashboard with R of real-time prediction & customer statistics

[Business Analytics with Data Mining] - Video Platform Customer Tagging     Jun 2020

    -    Predict suitable plan for free user

    -    Predict user that may cancel in the next period based on behavior feature

[Text Mining] - NLP based Song Recommendation                                               Jun 2019

    -    Use Google Universal Sentence Encoding to recommend song with lyrics

[Side Project] - SET News WordCloud Chatbot                                                      Apr 2019

    -    Real time crawling of web data through user's query

    -    Build back-end system with cloud server Heroku and Python web framework "flask"

    -    Apply jieba package with pandas' vector computation to speed up reply time

[Big Data Analysis] - Gamer Shopping & Deposit Recommendation System   Dec 2018

    -    Data cleaning & Feature engineering of over 1,000,000 deposit, item shopping, login data

    -    Cluster user behavior with EM machine learning algorithm and make marketing plan for each group

    -    Build a recommendation system in Python to implement collaborative filtering (Test Accuracy: 90%).

         (It was build as a web application with Flask, HTML, Jinja. It can be as designed as a API for game system)

[Machine Learning] - Twitter Text Mining & Neural Network Emoji Predict     Jun 2018

    -    Stream over 30000 text data with Twitter API and process the text data

    -    Reduce dimension with t-SNE algorithm and plot the vector relation of emoji 

    -    Predict emoji based on text with bag-of word and DNN, Xgboost.

[Econometrics] - Mango Pricing Time Series Analysis [R]                                      Jun 2017

    -    Collect fruit transaction data from public platform and crawl historical weather data

    -    Statistics test on various time variable to find significant ones

    -    Write into statistics report of how pricing of mango can be forecasted by my model

[Psychology Digital Technics] - Dcard Web Crawler & Text Mining [R]                Jun 2017

    -    Stream articles data from different forum and data cleaning

    -    Visualize word using behavior for different gender with wordcloud

         (Males have more word about 'myself',, females have more word about "my boyfriends")

Education

National Tsing Hua University, Service Science, Master                  Feb 2019 - Jun 2021

    -    Master degree of Service Science with major of information system & data analytics

    -    Course including quantitative and qualitative analysis method

Akita International University, Exchange Student                           Sep 2017 - Aug 2018

    -    Represent NCCU as exchange student, studying global business, machine learning, information science

    -    Language Exchange program as English, Chinese teacher

National Cheng Chi University, Statistics, Bachelor                       Sep 2014 - Jan 2019

    -    Course from basic to advance statistics, such as ANOVA, mathematical statistics.

Skills


Programming

Python: sklearn, tf, flask, pyspark,   jieba, gensim, etc

R: ggplot, dplyr, various statistics         model etc

SQL: MsSQL, NoSQL, HiveQL, SparkSQL


Language

English

    -    TOEIC 945 [2018/7]

    -    TOEFL 97 [2016/9]

Japanese

    -    N1 152 / 180 [2018/7]


Online Course

Coursera

    -    Natural Language Processing

    -    Sequence Model (deeplearning)

    -    Applied Machine Learning

    -    Bayesian Statistics 

Extracurricular Activities

NCCU Recruit Month [Annual Event],  Marketing member               Dec 2016 - Mar 2017

    -    Write Facebook Articles to promote each company to students

    -    Design virtual events to let students know more about the content about our event

    -    Collect questionnaires and visualize with  R's ggplot2.

NCCU Statistics Camp 7th, Marketing & Public Relation leader         Apr 2016 - Jul 2016

    -     Write Facebook Articles to promote the camp to high school student (Finally over 130 students enrolled)

    -     Track View data from Facebook backend to customize the article content