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进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
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
待业中
・
正在积极求职中
全职 / 暂不考虑远端工作
6 到 10 年
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
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 ~ 现在
・
Kỹ sư Kinh tế Đầu tư
一個月內
chủ đầu tư và tổ đội Tính toán, lên phương án kết cấu cho công trình nhà dân Triển khai bản vẽ kết cấu 2d bằng cad, và 3d bằng Revit thángthángThực tập sinh Công Ty Cổ Phần Xây Dựng Và Thương Mại Minh Phúc Lập dự toán công trình Lập hồ sơ dự thầu Học vấn Đại học Xây dựng Hà Nội Kinh tế & Quản lý Xây dựngKỹ năng Phần mềm thiết kế: Cad; Revit; Cubicost. Phần mềm dự toán: F1, G8. Office: Excel;word; PowerPoint; Outlook. GG Sheet; Data Studio Ngoại ngữ English — Nâng cao
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
Đại học Xây dựng Hà Nội
・
Kinh tế & Quản lý Xây dựng
Business Analyst @EPSON TAIWAN TECHNOLOGY & TRADE CO., LTD2021 ~ 现在
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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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
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 ~ 现在
・
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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
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 ~ 现在
・
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
待业中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
實踐大學
・
資訊管理
Business Analyst @Vaco2023 ~ 现在
・
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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
National Yunlin University of Science and Technology
・
English, Second Language Acquisition, Linguistics
Marketing Manager @BITGIN TECH CO., LTD2021 ~ 现在
・
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
就职中
・
目前会考虑了解新的机会
全职 / 我只想远端工作
6 到 10 年
Shih Hsin University
・
口語傳播學系SEO Manager @亞太滿譽科技有限公司2022 ~ 现在
・
SEO Manager, Content Manager, Digital Marketing Manager
一個月內
就职中
全职 / 对远端工作有兴趣
6 到 10 年
國立中央大學
・
資訊管理最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
待业中
求职阶段
专业
软体工程师, Python 开发人员, 机器学习工程师
产业
人工智能 / 机器学习, 软件, 资讯服务
工作年资
小於 1 年
管理经历
无
技能
语言能力
求职偏好
希望获得的职位
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
预期工作模式
全职
期望的工作地点
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
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
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)