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進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Avatar of 陶俊良.
Avatar of 陶俊良.
資料分析師 Data Analyst @Portto 門戶科技| Blocto
2022 ~ 2024
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
一個月內
陶俊良 (Tao,Chun-Liang) Taipei, Taiwan Email: [email protected] Phone:I am very sensitive to data and enjoy finding inspiration and ideas from them. I am proficient in machine learning, text analysis, and recommendation systems, EVM blockchain analytics, and currently use Python as my primary programming languages. I am always open to learning new things, such as learning new data structure from blockchain. I am currently very interested in blockchain data and on-chain user segamentation. I was working in digital media, advertising (DSP, SSP, DMP platforms), gaming user analyst, blockchain
python
R
MySQL
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
臺灣大學
流行病學與預防醫學所 生物統計組
Avatar of the user.
Avatar of the user.
智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ 現在
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
一個月內
Python
Qt
Git
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
元智大學 Yuan Ze University
工業工程與管理學系所
Avatar of the user.
Avatar of the user.
曾任
博士後研究員 @洛桑大學神經發育疾病實驗室
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
Data Science
Data Analysis
Machine Learning
待業中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
洛桑聯邦理工學院(EPFL)
神經科學
Avatar of 李慕全(MuChuan Li).
Avatar of 李慕全(MuChuan Li).
曾任
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
一個月內
李慕全(MuChuan Li) 畢業於國立臺北科技大學資工所,研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題,擁有多項產學合作的專案開發經驗,亦在電腦視覺領域中發表過多篇學術論文,主要研究主題包含物
Machine Learning
Computer Vision
Pytorch/Tensorflow
待業中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立臺北科技大學
資訊工程
Avatar of the user.
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
一個月內
Python
R
Natural Language Processing (NLP)
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立政治大學(National Chengchi University)
資訊科學系
Avatar of 邱義塵.
Avatar of 邱義塵.
曾任
Data Engineer @Rooit Inc. (XO App)
2023 ~ 2023
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
一個月內
邱義塵 於獨角獸多媒體設計有限公司擔任 遊戲測試工程師一職 建立公司測試團隊的測試流程和撰寫自動化測試程式 SDET、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 城市,TW [email protected] 工作經歷 獨角獸多媒體
Python
Data Analysis
Data Science
待業中
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
中國醫藥大學(China Medical University)
臨床醫學研究所
Avatar of Chun-Jung Huang.
Avatar of Chun-Jung Huang.
OPC Chief Engineer @TSMC
2020 ~ 現在
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
一個月內
Chun-Jung Huang [email protected] Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020 Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China. Work Experience TSMC, OPC Chief Engineer (MarPresent) ◆Introduced image anomaly detection techniques to identify and address defects in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to
Deep learning with TensorFlow
Translational Research
Clinical Research
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Chiao-Tung University
Ph.D. - Clinical Engineering
Avatar of 梁賦康 (Foo-Hong, Leong).
Avatar of 梁賦康 (Foo-Hong, Leong).
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
梁賦康 (Foo-Hong, Leong) Taoyuan City, Taiwan Email: [email protected] Tel:Skills • Languages: Python • DataBases: MySQL, SQLite • Infrastructure tools: Github • Machine learning libraries: TensorFlow, Keras, and Scikit-learn • Data visualization tools: Power BI, Seaborn and Matplotlib • Deployment: Streamlit Summary I have been working in Motor Manufacturing Industry for 8 years. My first programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept
Python
Power BI
Data Analytics
就職中
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立成功大學 National Cheng Kung University
Mechanical Engineering
Avatar of 陳奕妤.
Avatar of 陳奕妤.
曾任
Senior Data Analyst @趨勢科技
2022 ~ 現在
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
customers by using statistical methods and machine learning methods. Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards. Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis. Developing automated web crawler on MMA website to collect ETF, fund, bond information. Skill : Microsoft SQL Server · Microsoft Power BI · Data Cubes · R · Python · Tableau · Web Crawling · machine learning · IMPALA · HIVE · Git · Docker Data Analyst • Catchplay AprOct 2020 Indonesia OTT customer profile analysis - Collecting, analyzing and evaluating data and campaign performa...
python
R
SQL
待業中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
輔仁大學 Fu Jen Catholic University
統計資訊學系
Avatar of 江易倫.
Avatar of 江易倫.
曾任
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
一個月內
江易倫 Data Scientist | Python | SQL | NLP | GenAI 具備5年以上程式撰寫能力,擅長Python、SQL與Linux 擅長資料清洗、分析與分類貼標 具有自然語言處理與研究經驗 大型語言模型LLM及生成式AI訓練與使用經驗 RAG技術使用與知識庫建立經驗 過往研究專案 中華電信智能標籤案
Python
SQL
NLP
待業中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Chengchi University
資訊科學系

最輕量、快速的招募方案,數百家企業的選擇

搜尋履歷,主動聯繫求職者,提升招募效率。

  • 瀏覽所有搜尋結果
  • 每日可無限次數開啟陌生對話
  • 搜尋僅開放付費企業檢視的履歷
  • 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
如果結果不夠多,再逐一刪除較不重要的關鍵字
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號,如果想濾掉中文字,需搭配雙引號使用 (-"人資")
UI designer -UX
免費方案僅能搜尋公開履歷。
升級至進階方案,即可瀏覽所有搜尋結果(包含數萬筆覽僅在 CakeResume 平台上公開的履歷)。

職場能力評價定義

專業技能
該領域中具備哪些專業能力(例如熟悉 SEO 操作,且會使用相關工具)。
問題解決能力
能洞察、分析問題,並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對,並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法,且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序,有效運用時間,準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感,願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展,有效引領團隊採取行動,達成共同目標。
超過一年
資深資料科學家、商業分析師與商業開發運營主管
Logo of BenQ 明基電通.
BenQ 明基電通
2021 ~ 現在
Taipei City, Taiwan
專業背景
目前狀態
就職中
求職階段
專業
數據科學家
產業
工作年資
4 到 6 年工作經驗(2 到 4 年相關工作經驗)
管理經歷
我有管理 5~10 人的經驗
技能
Python
Java
Azure
C++
C
Excel
Machine Learning
Deep Learning
Data Analysis
Data Mining
Data Visualization
Marketing Strategy
Management
Market Analysis
語言能力
Chinese
母語或雙語
English
中階
求職偏好
希望獲得的職位
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
預期工作模式
全職
期望的工作地點
台灣台北市
遠端工作意願
對遠端工作有興趣
接案服務
學歷
學校
國立台灣大學
主修科系
電信工程
列印

Hlrlnxsbjo4idmmtm5ek

Dan Zheng

The data team lead and growth hacker at BenQ. Leading the data team in business/tech for new system design and development.


Served as a co-founder of a delivery platform startup company and experience in  writing a website, researching machine controller hardware, and some embedded system firmware.


Now specializing in deeply cultivating the AI ​​field, using NLP, ML, DL, RL and various cutting-edge technologies.


Data Team Lead、Data Manager、Machine Learning Engineer、Deep Learning Engineer、Sr. Data Scientist
Taipei, TW
[email protected]

Apply


Data Team Lead、Data Manager、Machine Learning Analyst, Deep Learning Analyst, Growth Hacker, Sr. Data Scientist

工作經歷

BenQ, Data Team Lead, Dec 2021 ~ Now

Department structure :
- Leading Infrastructure team, Data Analysis team,和 Business Growth team
- 4 Engineers、4 Data Scientist & Analyst、2 Project manager

Business culture, Tech, Project Development :
- Building BenQ Data Driven culture and methodology for BUs and departments
- Push around 200+ projects such as A/B Testing and User behaviors analysis for BUs and departments to cultivate the data-driven culture

- Development market trend and sales forecasting modeling service for BUs with around 85% accuracy/R2 score 

Team Building :
- Standard interview processing for Data Engineering, Data Science & Analysis, Project Manage, and Interviewed more than 100 Candidates, about 10 interviewed to the final interview.
- Data Team Bootstrap : Regular internal opening hours to establish new data products and algorithm establishment, process and cultural training from modeling to analysis reports


1. 【Products and Brand Key Words Predict Combination Model : All Product Line Volume Trend Prediction and Take Action/Generate the Insight】 

Internal volume keywords trend predict model, insight generate and consultant subscribe business development. 


2. 【Products Specs and Benefit Predict Combination Model : All Product Line Volume Trend Prediction and Take Action/Generate the Insight

Internal data science specs combination & benefit predict model, insight generate and consultant subscribe business development. 


3. 【GDPR Products Recommendation System】 

Internal data science federated learning recommendation system model, Scenario recommendation with insight generate and consultant subscribe business development. 

BenQ, Senior Data Scientist, Mar 2021 ~ Nov 2021

1. 【NLP-Business Metrics Combination : Improve the Metrics as Open Rate and Take Action/Generate the Insight】 

Internal data science keywords search engine, Auto Tagging and recommendation system engine development. 


2. 【NLP-Business Trend Combination : Finding the Keywords Field as Scenario Term like Indoor...etc and Take Action/Generate the Insight】 

Analyze the international market of major consumer electronic products and develop business models based on different series of the products.


3. 【Product positioning STP model】 According to each segment market, for local or global e-commerce platforms such as Amazon, etc. Establish a keyword generation model, and predict product rating and the accuracy rate is 95%.

Gama Mobile, Machine Learning Engineer, Aug 2019 ~ Sep 2020

【Mobile game physique scoring analysis model】Result: The game analysis has been tested by senior game consultants in the industry, compared with the analysis of the system's automatic judgment, and the result coincides with 75%.


【Analysis Model of VIP Player Churn in Mobile Games】 

Results: Based on the behavior of VIP users in the previous month, predict the person most likely to become churn, and verify the key reasons for churn, with an accuracy rate of 98%.

HIWIN Technology, AI Engineer, Nov 2017 ~ Mar 2019

Use Python to develop Azure's speech recognition system. 


This project is a cooperation project between Shanghai Bank and Microsoft Corporation. It will be exhibited together with Microsoft at the Nangang Exhibition Hall in August 2018. 

Le-Tao Technology, Co-founder, Co., Ltd., Nov 2015 ~ Nov 2016

As CIO/CMO 


The company’s main business is a university food delivery platform.


The highest order volume in a single day exceeds 6,000 orders, and the monthly turnover is 6 million Taiwan dollars Lay the company's main revenue foundation.

Education

National Taiwan University, Master's degree, Telecommunication Engineering, 2019 ~ 2021

Studying in the AI ​​and Information Security Group of the National Taiwan University Telecommunications Institute during holidays, ranked first in the first semester of the 109 school year, with an average GPA of 4.3/4.3


Credits have been completed, only graduation thesis left Expected to graduate in 2021 National Taiwan University's GPA out of 4.3 GPA3.8 is converted to a percentage score of 85.67 points

S22oysy25dcs1nxgqwfb

National Chung Hsing University, Bachelor of Engineering(BEng), Department of Mechanical Engineering, 2012 ~ 2016

Have a certain basic understanding of mechanical engineering and be able to use it in the field of work.

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Language


Chinese: Proficient 

English: medium 

Taiwanese: Proficient

Skill


Business analytical thinking skills

My advantage is: through the usual accumulation of industry observations and information collection, after finding possible market trends, follow the steps below to complete business development, market analysis, and market strategy. 


Data analysis

Python, Data Analysis, Data Studio,

GCP,Tableau, MySQL and Excel


AI

【Machine Learning】 

Good at algorithms: Random Forest, Logistic Regression, SVC, Yees Regression, Linear Regression, Xgboost, Ensemble learning System, k-means Clustering


【Deep Learning】 

Good at algorithms : CNN、RNN、Vgg16、 Vgg19、Resnet50 


Commonly used open frameworks and platforms : Keras、 Pytorch、Mxnet、Tensorow2.0、 Azure 


【NLP】 

Good at algorithms : Bert, word2vec, TF-IDF


【Reinforcement learning】 

Good at algorithms : Q-Learning、DQN 

履歷
個人檔案

Hlrlnxsbjo4idmmtm5ek

Dan Zheng

The data team lead and growth hacker at BenQ. Leading the data team in business/tech for new system design and development.


Served as a co-founder of a delivery platform startup company and experience in  writing a website, researching machine controller hardware, and some embedded system firmware.


Now specializing in deeply cultivating the AI ​​field, using NLP, ML, DL, RL and various cutting-edge technologies.


Data Team Lead、Data Manager、Machine Learning Engineer、Deep Learning Engineer、Sr. Data Scientist
Taipei, TW
[email protected]

Apply


Data Team Lead、Data Manager、Machine Learning Analyst, Deep Learning Analyst, Growth Hacker, Sr. Data Scientist

工作經歷

BenQ, Data Team Lead, Dec 2021 ~ Now

Department structure :
- Leading Infrastructure team, Data Analysis team,和 Business Growth team
- 4 Engineers、4 Data Scientist & Analyst、2 Project manager

Business culture, Tech, Project Development :
- Building BenQ Data Driven culture and methodology for BUs and departments
- Push around 200+ projects such as A/B Testing and User behaviors analysis for BUs and departments to cultivate the data-driven culture

- Development market trend and sales forecasting modeling service for BUs with around 85% accuracy/R2 score 

Team Building :
- Standard interview processing for Data Engineering, Data Science & Analysis, Project Manage, and Interviewed more than 100 Candidates, about 10 interviewed to the final interview.
- Data Team Bootstrap : Regular internal opening hours to establish new data products and algorithm establishment, process and cultural training from modeling to analysis reports


1. 【Products and Brand Key Words Predict Combination Model : All Product Line Volume Trend Prediction and Take Action/Generate the Insight】 

Internal volume keywords trend predict model, insight generate and consultant subscribe business development. 


2. 【Products Specs and Benefit Predict Combination Model : All Product Line Volume Trend Prediction and Take Action/Generate the Insight

Internal data science specs combination & benefit predict model, insight generate and consultant subscribe business development. 


3. 【GDPR Products Recommendation System】 

Internal data science federated learning recommendation system model, Scenario recommendation with insight generate and consultant subscribe business development. 

BenQ, Senior Data Scientist, Mar 2021 ~ Nov 2021

1. 【NLP-Business Metrics Combination : Improve the Metrics as Open Rate and Take Action/Generate the Insight】 

Internal data science keywords search engine, Auto Tagging and recommendation system engine development. 


2. 【NLP-Business Trend Combination : Finding the Keywords Field as Scenario Term like Indoor...etc and Take Action/Generate the Insight】 

Analyze the international market of major consumer electronic products and develop business models based on different series of the products.


3. 【Product positioning STP model】 According to each segment market, for local or global e-commerce platforms such as Amazon, etc. Establish a keyword generation model, and predict product rating and the accuracy rate is 95%.

Gama Mobile, Machine Learning Engineer, Aug 2019 ~ Sep 2020

【Mobile game physique scoring analysis model】Result: The game analysis has been tested by senior game consultants in the industry, compared with the analysis of the system's automatic judgment, and the result coincides with 75%.


【Analysis Model of VIP Player Churn in Mobile Games】 

Results: Based on the behavior of VIP users in the previous month, predict the person most likely to become churn, and verify the key reasons for churn, with an accuracy rate of 98%.

HIWIN Technology, AI Engineer, Nov 2017 ~ Mar 2019

Use Python to develop Azure's speech recognition system. 


This project is a cooperation project between Shanghai Bank and Microsoft Corporation. It will be exhibited together with Microsoft at the Nangang Exhibition Hall in August 2018. 

Le-Tao Technology, Co-founder, Co., Ltd., Nov 2015 ~ Nov 2016

As CIO/CMO 


The company’s main business is a university food delivery platform.


The highest order volume in a single day exceeds 6,000 orders, and the monthly turnover is 6 million Taiwan dollars Lay the company's main revenue foundation.

Education

National Taiwan University, Master's degree, Telecommunication Engineering, 2019 ~ 2021

Studying in the AI ​​and Information Security Group of the National Taiwan University Telecommunications Institute during holidays, ranked first in the first semester of the 109 school year, with an average GPA of 4.3/4.3


Credits have been completed, only graduation thesis left Expected to graduate in 2021 National Taiwan University's GPA out of 4.3 GPA3.8 is converted to a percentage score of 85.67 points

S22oysy25dcs1nxgqwfb

National Chung Hsing University, Bachelor of Engineering(BEng), Department of Mechanical Engineering, 2012 ~ 2016

Have a certain basic understanding of mechanical engineering and be able to use it in the field of work.

Hxrpwtowgoqdzlgockto

Language


Chinese: Proficient 

English: medium 

Taiwanese: Proficient

Skill


Business analytical thinking skills

My advantage is: through the usual accumulation of industry observations and information collection, after finding possible market trends, follow the steps below to complete business development, market analysis, and market strategy. 


Data analysis

Python, Data Analysis, Data Studio,

GCP,Tableau, MySQL and Excel


AI

【Machine Learning】 

Good at algorithms: Random Forest, Logistic Regression, SVC, Yees Regression, Linear Regression, Xgboost, Ensemble learning System, k-means Clustering


【Deep Learning】 

Good at algorithms : CNN、RNN、Vgg16、 Vgg19、Resnet50 


Commonly used open frameworks and platforms : Keras、 Pytorch、Mxnet、Tensorow2.0、 Azure 


【NLP】 

Good at algorithms : Bert, word2vec, TF-IDF


【Reinforcement learning】 

Good at algorithms : Q-Learning、DQN