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4-6 years
6-10 years
10-15 years
More than 15 years
Past
後端工程師 & DevOps @創業家兄弟Kuobrothers Corp.2022 ~ 2024
・
Senior Backend Engineer | DevOps | SRE
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Taipei University of Technology
・
資工系
Past
Marketing Manager @幫你優股份有限公司 BoniO Inc. / 閱讀優有限公司 TaaO Company Limited2021 ~ Present
・
Marketing Manager
Within one month
李佳謙 CHIEN LI Marketing Manager / BoniO Inc. Marketing Strategy ｜ Customer Growth 負責品牌行銷，規劃產品銷售策略，推動品牌會員成長 熟悉市場、訂閱經濟、平台營運 以終為始策略型思考，帶領團隊有效達到營運目標 工作專長 用戶、營運成長數據指標分析 Operating Data Management ● 產品市場規模及用戶調
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
淡江大學
・
英文學系Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
暨南大學
・
電機工程Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
iSpan資展國際
・
前端工程師就業養成班
行銷副理 / KOL Radar 行銷科技事業部 @愛卡拉互動媒體股份有限公司2021 ~ Present
・
品牌專案企劃、網路行銷企劃、數位行銷企劃
Within one month
林孟嫻 (Naomi Lin) 超過 5 年整合行銷與專案策略經驗 ，善於跨部門溝通、協作與專案管理，以邏輯和創意超越一切挑戰。 Contact: [email protected] 【專業能力】 英語能力： 多益 955 分，曾任台大英語辯論賽裁判 產品與市場數據分析： GA4, Ahrefs, SimilarWeb, Hotjar, Google Looker Studio 圖表串接與分析 行銷
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
臺北市立大學
・
英語教學系
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ Present
・
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
Within one month
潘揚燊 ㄕㄣ Shen Pan Kaohsiung City，Taiwan • [email protected] 希望職務：人工智慧、機器視覺應用開發工程師 現任 : 聯華電子 RPA 平台全端開發工程師 您好，我是潘揚燊，目前任職於 聯華電子 ， 擔任 智慧製造 全端開發工程師 ， 畢業於元智大學工業工程與管理學系研
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
・
工業工程與管理學系所
Past
資深前端工程師 @辰凝有限公司2022 ~ 2023
・
前端工程師 Front-End Developer
Within one month
Sosuke Guo 專職於網頁前端工程師近五年，擅於從0開始打造產品，有用Vue + Golang + Python自己打造產品的經驗。 前端工程師 Front-End Developer 作品 - SocialPicMaker.com 製作精美Twtter card 的小工具網站 只要兩個步驟，輸入網址、點擊下載，即可完成 可以選擇黑白兩種介面佈局以及多種
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
生物產業機電工程所
Past
前端工程師 @科智企業股份有限公司2018 ~ 2023
・
資深前端工程師, Sr. Frontend Engineer
Within one month
吳昊諶 Mike 擁有 5 年經驗的前端工程師，開發過 AI 模型標註和訓練系統與機聯網相關應用，擅長 React.js, Firebase，也曾負責過網站管理、雲端部署、API 開發，平時開發會關注代碼的品質以及程式的效能，喜歡不停打磨產品和解決問題的過程，也熱衷於技術
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立交通大學 National Chiao Tung University
・
土木工程
Past
Lead of Country Product Manager @Asus 華碩電腦股份有限公司2022 ~ 2023
・
Business Development / Product Manager / Product Marketing/ Strategy Manager
Within one month
Jimmy Lu (呂正彥) Senior Product Manager [Consumer Electronics Expatriate PM/Sales/BD] Entrepreneurship business development & management Leadership flexible & efficient international/cross-functional organizing Target-oriented project lead & SOP consolidation, product lifecycle management Begin with the end in mind Go-to-market execution Taipei, Taiwan < > London, UK https://www.linkedin.com/in/itsjimmy/ [email protected] Work experience Senior Product Manager [Consumer NB & Gaming ] • ASUSTeK Computer Indonesia JulDec 2023 | Jakarta, Indonesia Key responsibilities & Achievements - #business management #business development #team leading #cross-functional organizing
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立陽明交通大學(National Yang Ming Chiao Tung University)
・
Bachelor of management , Management of Transportation and LogisticsThe Most Lightweight and Effective Recruiting Plan
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Employed
Job Search Progress
Professions
Data Scientist
Fields of Employment
Work experience
1-2 years
Management
Skills
Languages
English
・
Fluent
Job search preferences
Positions
數據分析師、資料科學家
Job types
Full-time
Locations
台灣台北
Remote
Interested in working remotely
Freelance
Educations
School
台灣大學
Major
統計
Education
National Taiwan University Taipei, Taiwan
Statistics, Master Degree GPA 3.94/4.3 (Rank 1th) 2016.09 - 2018.06
National Chengchi University Taipei, Taiwan
Statistics, Bachelor Degree 2013.09 - 2016.06
Work experience
Vanguard International Semiconductor Co. Hsinchu, Taiwan
algorithm engineer 2018.10 - 2020.3- Designed an anomaly detection model for monitoring the health of semiconductor manufacturing equipments.
- Built and combined three models, Moving Average Model, AutoEncoder and Multi-Scale Convolutional Recurrent Encoder Decoder (MSCRED), to improve higher accuracy.
- Used SAS JMP to perform data preprocessing and python with Tensorflow framework to build the model.
- Saved every module engineer 1 hour per day.
- Designed a wafer defect detection and classification model on photos provided from Automated Optical Inspection (AOI).
- Used object detection model, Faster R-CNN, with Tensorflow framework.
- Achieved 85% accuracy, and 90% recall rate.
- Design Automatic Virtual Metrology to update the parameter settings of equipments in real time.
- Used Dense Neural Network with Keras framework.
- Equipment parameters were estimated and updated
Publication
Semiparametric regression analysis of current status data under sequential monitoring
- Developed a semiparametric estimation method for regression analysis based on the sequential monitoring data.
- Introduced the additive hazards regression on sequential data to utilize the comprehensive monitoring information.
- Proposed a two-stage estimation procedure by pooling the sequence of the current status at monitoring times to estimate the regression coefficients in the semiparametric additive hazard model.
- Used R to conduct extensive simulation studies with various censoring rates and monitoring frequencies to investigate the performance. The result indicated that this model has a good performance, which has bias less than 0.01 and is close to the right censored data result.
Award
The 5th E.SUN commercial bank SAS competition: excellent work
Big Data Data Scientist Competition Text Analysis and Digital Marketing Competition
- Lead a team of four, including one member majoring marketing, to develop feasible marketing strategy candidates, and then designed further analyzing procedures and models respectively.
- Implemented descriptive statistics with SAS Text Miner to analyze forum texts and search logs from the official site of E.SUN, to identify different costumer groups and their corresponding consumption propensities.
- Implemented a Decision Tree model, with SAS, SAS VA and SAS Viya, to predict customers’ purchasing power based on customer profile and their credit card history, which achieved 86% accuracy.
- Based the analysis and model, we selected the most important variables and decided our major target group, and proposed our final marketing strategy.
Skills
- python, R,
- SAS, SAS JMP
- pytorch, tensorflow, keras
selected courses
- Mathematical statistics (2016 Fall) A
- Applied Bayesian statistical method (2016 Fall) A-
- Biostatistics research methods (2016 Fall) A
- Principles and applications of computational biology (2017 Spring) A
- Machine learning (2017 Spring) A-
- Advanced Medical Statistics Method 1 (2017 Fall) A+
- Survival analysis (2018 Spring) A+
- Category analysis (2018 Spring) A+
Education
National Taiwan University Taipei, Taiwan
Statistics, Master Degree GPA 3.94/4.3 (Rank 1th) 2016.09 - 2018.06
National Chengchi University Taipei, Taiwan
Statistics, Bachelor Degree 2013.09 - 2016.06
Work experience
Vanguard International Semiconductor Co. Hsinchu, Taiwan
algorithm engineer 2018.10 - 2020.3- Designed an anomaly detection model for monitoring the health of semiconductor manufacturing equipments.
- Built and combined three models, Moving Average Model, AutoEncoder and Multi-Scale Convolutional Recurrent Encoder Decoder (MSCRED), to improve higher accuracy.
- Used SAS JMP to perform data preprocessing and python with Tensorflow framework to build the model.
- Saved every module engineer 1 hour per day.
- Designed a wafer defect detection and classification model on photos provided from Automated Optical Inspection (AOI).
- Used object detection model, Faster R-CNN, with Tensorflow framework.
- Achieved 85% accuracy, and 90% recall rate.
- Design Automatic Virtual Metrology to update the parameter settings of equipments in real time.
- Used Dense Neural Network with Keras framework.
- Equipment parameters were estimated and updated
Publication
Semiparametric regression analysis of current status data under sequential monitoring
- Developed a semiparametric estimation method for regression analysis based on the sequential monitoring data.
- Introduced the additive hazards regression on sequential data to utilize the comprehensive monitoring information.
- Proposed a two-stage estimation procedure by pooling the sequence of the current status at monitoring times to estimate the regression coefficients in the semiparametric additive hazard model.
- Used R to conduct extensive simulation studies with various censoring rates and monitoring frequencies to investigate the performance. The result indicated that this model has a good performance, which has bias less than 0.01 and is close to the right censored data result.
Award
The 5th E.SUN commercial bank SAS competition: excellent work
Big Data Data Scientist Competition Text Analysis and Digital Marketing Competition
- Lead a team of four, including one member majoring marketing, to develop feasible marketing strategy candidates, and then designed further analyzing procedures and models respectively.
- Implemented descriptive statistics with SAS Text Miner to analyze forum texts and search logs from the official site of E.SUN, to identify different costumer groups and their corresponding consumption propensities.
- Implemented a Decision Tree model, with SAS, SAS VA and SAS Viya, to predict customers’ purchasing power based on customer profile and their credit card history, which achieved 86% accuracy.
- Based the analysis and model, we selected the most important variables and decided our major target group, and proposed our final marketing strategy.
Skills
- python, R,
- SAS, SAS JMP
- pytorch, tensorflow, keras
selected courses
- Mathematical statistics (2016 Fall) A
- Applied Bayesian statistical method (2016 Fall) A-
- Biostatistics research methods (2016 Fall) A
- Principles and applications of computational biology (2017 Spring) A
- Machine learning (2017 Spring) A-
- Advanced Medical Statistics Method 1 (2017 Fall) A+
- Survival analysis (2018 Spring) A+
- Category analysis (2018 Spring) A+