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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
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
臺北市立大學
・
英語教學系QA automation engineer / Software development engineer in test
一個月內
deliver high-quality products on time. I am also a team player and communicate well in any cross-functional teams. Skill Good at test planning, defined test strategy, implementing test plan and test cases also build up the test environment. Issue feedback and reporting, bug tracking and data analyzing. Program: Python, My SQL, Google Data Studio, ADB commands Education Fu Jen Catholic University~Master of Science i n Applied Statistics Fu Jen Catholic University~Bachelor of Statistics and Information Science Work Experience Google-PTE (Pixel Testing Engineer Team/01~2023/03) NOVMAR 2023 Pixel
待業中
・
正在積極求職中
全職 / 暫不考慮遠端工作
6 到 10 年
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
復旦大學
・
信息管理與信息系統學系Chuyên viên chính phòng Kế hoạch & Đầu tư @Công ty Cổ phần ZaHưng2022 ~ 現在
・
Kỹ sư Kinh tế Đầu tư
一個月內
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
Đại học Xây dựng Hà Nội
・
Kinh tế & Quản lý Xây dựng
Business Analyst @EPSON TAIWAN TECHNOLOGY & TRADE CO., LTD2021 ~ 現在
・
Data Analyst/Data Scientist
一個月內
INC. 四月十月 2019 • Crawled articles from different webs and constructed NLP model integrated text-CNN, Logistic, LightGBM, accuracy around 91%. • Analyzed content of articles to calculate content similarity, then recommended readers related articles to improve the click rate and pageview. • Interfaced with GA, dumped data to BigQuery then visualized data via Data Studio to help company partners grasping website traffic. • Advertising optimization, offered the performance and bidding situation of different kinds of advertises to the business department to sell ad slots. Data Analyst • Hower Digital Solution Consultant 九月四月 2019
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
台灣大學
・
生態學與演化生物學研究所
資料科學家 主任 @太古汽車集團_英屬維京群島商太古國際汽車股份有限公司台灣分公司2022 ~ 現在
・
Data Scientist, Data Analyst, Machine Learning Engineer, Supply Chain Manager, Data Science Manager,
一個月內
站關鍵字，佈局網站關鍵字策略。 4.與行銷部門探討網站 SEO 優化，包含：關鍵字部署、內外部連結調整、頁面結構等。 5.使用Google Data Studio產出客制化報告提供給行銷部門及客戶。 SEO工程師 光覺文教心靈協會 • 五月十二月 2020 擔任SEO、SEM工程師，負責規劃關
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
麻省理工學院Massachusetts Institute of Technology
・
Data Science and Machine Learning
曾任
網站分析技術講師/顧問 @創極媒體2021 ~ 現在
・
一個月內
負責品牌有mr.maestro、ORIEN’T、erugam、cheerpops、otimo 【 專聘數位行銷講師】 每週固定安排數位行銷相關課程教授數位行銷知識與工具使用，包含(google ads與Facebook ads廣告投放，Google analytics、google data studio、GTM)等相關行銷工具實務使用 與考照指導。 除了一般課程的教授之外，如公司內行銷人員
待業中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
實踐大學
・
資訊管理
Business Analyst @Vaco2023 ~ 現在
・
Data Analyst, Business Intelligence, Languages
一個月內
service quality and a 20% increase in team productivity. Streamlined operations by automating 10+ reporting processes using Google Sheets, BigQuery, and Google App Scripts, leading to a 25% boost in team efficiency. Created 50+ strategic analyses, dashboards, and periodic reports using Google Sheets, BigQuery, and Looker Studio, enhancing operational efficiency by 40% and service quality by 25%. Developed two content review and quality assurance automation systems utilizing Google Sheets and Google Apps Script, resulting in a 45% reduction in operational labor. Designed 10+ data reporting infrastructures using Google Sheets, BigQuery, and Data Studio
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
National Yunlin University of Science and Technology
・
English, Second Language Acquisition, Linguistics
Marketing Manager @BITGIN TECH CO., LTD2021 ~ 現在
・
一個月內
and customer loyalty. Managed strategic public relations plans, effectively managing the brand's image. Teamed up with cross-industry, to grow and reach partnerships. Collaborated with influencers, leveraging their influence to amplify brand messaging and reach audience. Launching marketing campaigns for new products, optimized traffic, conducted data analysis, and built a private user network. Achieved the milestone of reaching a trading volume of $100M USD and surpassing 30,000 users within just 1 year of product launch. Performance User 50k+｜New product trading volume $100M USD/year｜Offline campaign 10+｜ Marketing
就職中
・
目前會考慮了解新的機會
全職 / 我只想遠端工作
6 到 10 年
Shih Hsin University
・
口語傳播學系
自由接案者 @自由接案者2023 ~ 現在
・
專案經理、行銷企劃、廣告投放
一個月內
售定價規劃 Cyberbiz後台介面操作，商品上下架、優惠活動設定及測試、成效數據洞察 Weebly一頁式網站建置 廣告行銷技能 精通媒體:Google Ads、Bing Ads、Facebook 其他媒體:LineLAP、Apple Search Ads、YahooDSP、Criteo 行銷工具:KeywordsTool、Keypo 成效追蹤:Google Trends、Google Data Studio、GTM、Firebase 客戶產業 醫療:大學眼科 教育:黑嘉嘉圍棋教
就職中
全職 / 對遠端工作有興趣
4 到 6 年
亞東技術學院
・
行銷與流通管理系最輕量、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
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
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。
專業背景
目前狀態
待業中
求職階段
專業
軟體工程師, Python 開發人員, 機器學習工程師
產業
人工智慧 / 機器學習, 軟體, 資訊服務
工作年資
小於 1 年
管理經歷
無
技能
語言能力
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, 台灣新北市, 台灣桃園, 台灣新竹, 台灣苗栗, 台灣台中
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
國立台灣科技大學
主修科系
AI
莊才賢,Cai-Xian(John) Zhuang
[email protected]
+886-983-865-151
About Me
- I graduated from the master of AI group in National Taiwan University of Science and Technology. I like to use AI models to solve some problems that especially focus on computer vision and some image processing.
- I like to challenge the impossible, and I am curious about new knowledge.
- I am looking for a software engineer for a company where I can apply my abilities to help my team to achieve what clients want.
Education & Experience
National Taiwan University of Science and Technology, M.S., Electrical Engineering- AI, Jul. 2019 - Sep. 2021
- Courses included: Machine Learning, Algorithm, Deep Learning, Image and Video Processing
- Research: Video-Based Blood Pressure Estimation Using Two-Step Learning in 3D-CNN
- Predicting ages by faces achieves only 4.2 ages error.
- Predicting gender by faces achieves approximately 98% accuracy.
- Subjects included: Program Designing, Control System, Deep Learning Application Machine Learning
- Eighth place in the whole department
Skills
Language
- Python
- C++
- Arduino
- MATLAB
IDE/Editor Tool
- Jupyter Notebook
- Spyder3
- PyCharm
- Code::Blocks
- Visual Studio
- GitHub
Cloud Service & Database
- Google Colab
- MySQL
Other Knowledge
- AI (Artificial Intelligence)
- Image Preprocessing
- Algorithm
Projects
1.Video-Based Blood Pressure Estimation Using Two-Step Learning in 3D-CNN
We used only face frames to estimate blood pressure with a normal webcam. We proposed two training skills and a two-step learning method to reduce the loss. We finally achieve 6.95/6.53 mmHg (MAEs for SBP/DBP) and 7.50/6.29 (standard deviation for SBP/DBP) which pass the criteria of AAMI.
- Language : Python
- API : Pytorch, Matplotlib, Pandas, cv2, PIL
2.Voice to Sign Language Translation System
Customer says some words. Microphone will collect them. Computer will show the Sign Language films to the hearing-impaired people.
- Language : Python
- API : SpeechRecognition, jieba, Tkinter, cv2
3.The Simpsons Characters Recognition Challenge
We used Simpson dataset and CNN architecture as the model of training and prediction.
- Language : Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
4.Score Your Face
We used SCUT-FBP5500_v2 dataset and ResNet50 architecture as the model of training and score people’s faces.
- Language : Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
5.Smart Parking Lot
We combined Arduino and Python to build Smart Parking Lot. We used Arduino to be our warning light, sensors, motors and management system. Using Python to detect and identify license plate.
- Language : Arduino, Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
Contests
- Participate in 2019 11th IT help ironman competition (AI & Data)
- 2018 NTUT Senior Project Contest - The High Distinction Award
- Participate in 2017 TEL Robot Combat final contest(東京威力科創機器人大賽)
莊才賢,Cai-Xian(John) Zhuang
[email protected]
+886-983-865-151
About Me
- I graduated from the master of AI group in National Taiwan University of Science and Technology. I like to use AI models to solve some problems that especially focus on computer vision and some image processing.
- I like to challenge the impossible, and I am curious about new knowledge.
- I am looking for a software engineer for a company where I can apply my abilities to help my team to achieve what clients want.
Education & Experience
National Taiwan University of Science and Technology, M.S., Electrical Engineering- AI, Jul. 2019 - Sep. 2021
- Courses included: Machine Learning, Algorithm, Deep Learning, Image and Video Processing
- Research: Video-Based Blood Pressure Estimation Using Two-Step Learning in 3D-CNN
- Predicting ages by faces achieves only 4.2 ages error.
- Predicting gender by faces achieves approximately 98% accuracy.
- Subjects included: Program Designing, Control System, Deep Learning Application Machine Learning
- Eighth place in the whole department
Skills
Language
- Python
- C++
- Arduino
- MATLAB
IDE/Editor Tool
- Jupyter Notebook
- Spyder3
- PyCharm
- Code::Blocks
- Visual Studio
- GitHub
Cloud Service & Database
- Google Colab
- MySQL
Other Knowledge
- AI (Artificial Intelligence)
- Image Preprocessing
- Algorithm
Projects
1.Video-Based Blood Pressure Estimation Using Two-Step Learning in 3D-CNN
We used only face frames to estimate blood pressure with a normal webcam. We proposed two training skills and a two-step learning method to reduce the loss. We finally achieve 6.95/6.53 mmHg (MAEs for SBP/DBP) and 7.50/6.29 (standard deviation for SBP/DBP) which pass the criteria of AAMI.
- Language : Python
- API : Pytorch, Matplotlib, Pandas, cv2, PIL
2.Voice to Sign Language Translation System
Customer says some words. Microphone will collect them. Computer will show the Sign Language films to the hearing-impaired people.
- Language : Python
- API : SpeechRecognition, jieba, Tkinter, cv2
3.The Simpsons Characters Recognition Challenge
We used Simpson dataset and CNN architecture as the model of training and prediction.
- Language : Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
4.Score Your Face
We used SCUT-FBP5500_v2 dataset and ResNet50 architecture as the model of training and score people’s faces.
- Language : Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
5.Smart Parking Lot
We combined Arduino and Python to build Smart Parking Lot. We used Arduino to be our warning light, sensors, motors and management system. Using Python to detect and identify license plate.
- Language : Arduino, Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
Contests
- Participate in 2019 11th IT help ironman competition (AI & Data)
- 2018 NTUT Senior Project Contest - The High Distinction Award
- Participate in 2017 TEL Robot Combat final contest(東京威力科創機器人大賽)