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On
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
Ready to interview
Professions
Data Scientist, Machine Learning Engineer, Information Analyst
Fields of Employment
Games, Blockchain, Digital Marketing / Data Marketing
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Languages
English
・
Intermediate
Chinese
・
Native or Bilingual
Job search preferences
Positions
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Job types
Full-time
Locations
Taipei, 台灣, Tainan, 東區台南市台灣
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
臺灣大學
Major
流行病學與預防醫學所 生物統計組
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 data exploration like Dune dashboard.
I have many practical applications and ideas for user and customer analysis on platforms such as broadcasting networks, e-commerce, social media, CDP. For example, how to get our customers' value, how to use external data and resources to get the data more benefit, and many other practical applications and ideas. My goal is to use data to make company growth successful and get more commany user info to maximize the benefits of data.
Let Data tell the true!!!
工作經歷
Senior Data Analyst
Portto 門戶科技| Blocto • 九月 2022- 三月 2024
- Main Responsibilities:
- Establishing Data Pipeline
- Exploring new product features and competitor analysis on Dune Dashboard on the EVM
- User tagging for the Growth team (including Discord bot for monitoring
- Project details:
- Data Pipeline
- Regularly integrating client-side and BE data with external APIs and data collected by bots on Bigquery
- Establishing a systematic coding data table combined with Slack bot command manual and automatic data replenishment
- Daily data monitoring with Slack bot
- Planning client-side (app, sdk js) Amplitude event tracking to maximize data collection
- Using existing data to set company and growth team short-term indicators and conducting demos with Looker Studio for easy operation
- Segmenting and analyzing user data to maximize marketing benefits for valuable users and facilitate customer service personnel in managing VVIP customers, similar to CDP
- Using bots and APIs to collect Discord and Twitter data regularly to monitor user feedback and interaction behavior
- Dune Dashboard
- Establishing statistical standards to monitor newer or rapidly popular Dapp projects on EVM
- Regularly monitoring competitor behavior on the blockchain for specific features (ex. AA, Batch tx of Blocto (smart contract wallet))
- Collaborating with BI to plan the entire product context and ideas, explore new markets as much as possible, and establish data strategies and projects needed for growth
- User tagging for the Growth team (including Discord bot for monitoring)
- Using on-chain data to periodically observe the relationship between assets and their transaction behavior interactions
- Using data from our own app to periodically check user interaction behavior and maximize its benefits, find patterns, and find ways to replicate to bring in more users.
- Data Pipeline
Machine learning engineer supervisor
Gamania 遊戲橘子數位科技股份有限公司 • 九月 2021 - 九月 2023
- Main Responsibilities:
- Maintaining the data pipeline for game logs in Lineage M game
- Planning data projects for Lineage M
- Establishing machine learning models for Lineage M
- Designing and optimizing the company's machine learning systems and processes
- Simulating and integrating data from the game platform and headquarters for the company
- Providing reports for monitoring abnormal game behaviors for operations
- Company Awards:
- The company MVP for December 2021
- Project detail:
- Player segmentation analysis
- Responsible for detecting specific player characteristics from game player logs and using k-means algorithm to group players to achieve initial player segmentation and game quality control. Additionally, establishing a data pipeline using data mining to appropriately punish illegal behavior players, forcing them to disappear from the game and improve the game experience, monitoring abnormal game recharge behavior, and further reducing the company's property loss in the game.
- MLOPS
- Designing a complete machine learning control process flowchart and architecture, establishing a template for the initial version of the model program control with the team, facilitating data preprocessing and version control of machine learning for various projects, monitoring the quality of all data predicted by the model, further reducing engineer maintenance time and more efficiently controlling online models. Additionally, it facilitates A/B testing and online testing when developing new models, making testing to online smoother and version rollback and management more convenient.
- Tag system architecture
- Designing a player behavior tag architecture diagram, hoping to achieve player behavior control and player marketing techniques.
- Player segmentation analysis
Data Analyst Supervisor
Clickforce 域動行銷股份有限公司 • 一月 2020 - 九月 2021
- Main Responsibilities:
- Optimizing SSP ad playback quality and report production
- Optimizing DSP ad effectiveness
- Optimizing DMP report production.
- Project detail:
- Auto crawler
- Automatically plans the required machines based on the number of newly added media sites each day, and distributes machine resources to save GCP VM costs. It crawls all sites and monitors the number of crawls daily through an automated report.
- BERT Model Predicts Article Categories and Combines with Word Segmentation System, TW-IWF, and WV
- Predicts each article's category and its associated keywords and similar keyword terms for advertisement and data analysis services to provide customers with web user analysis reports.
- Automated Recommender System for CTR
- Uses a Recommender System to predict clicks based on user behavior within the broadcast network. This has resulted in a growth of 2x or more in advertising CTR.
- Predicting Gender and Age with XGBoost (Predicts User's Real Gender and Age)
- Uses cookies to predict the gender and age of a user based on their behavior on various media platforms. The accuracy rate for gender prediction is 80%.
- Auto crawler
Research Assistant
NTU Center of Genomic and Precision Medicine • 十月 2019 - 一月 2020
- Main Responsibilities:
- Paper research
- Project detail:
- RNA IMPUTATION Research
- Predixcan&S-Predixcan Research
- I wrote the draft for the paper titled "A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models"
- RNA IMPUTATION Research
Side project
Biffinex Lending Bot
- Project Goal: To use the bot to assist members in lending USD assets at the best possible rates.
- Main Responsibilities:
- Training the model with the lending rate, period, and volume.
- Current Results:
- The lending rate spread for lower-tier members is 1-3% higher than that of competitors.
- Main Responsibilities:
- Future Vision:
- Iteration of existing functions
- Implementation of new functions
- Intelligent long/short ratio robot order book.
Education
Sep 2017 - Jun 2019
National Taiwan University
Institute of Epidemiology and Preventive Medicine (majored in bio-statistic)
論文: 以機器學習方法建構卵巢癌病患之基因預後模型 (參加ICIBM國際會議)
Published on Journal of Advanced Research May 2021
A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models (quoted by 15 times until 2024-03 )
Sep 2013 - Jun 2017
National Cheng Kung University
Statistics
Data Analysis Projects During School:
- Online News Popularity
- The Relationship Between Ice Cap Area and Sea Level
- Saint Tome Malaria Mosquito
- 2018 Taipei Mayoral Election Prediction
- The Hidden Dangers Behind Terrorist Attacks
- Semiconductor Process - Wafer Image Analysis
技能
Programming Language
- Ｒ
- Python
DataBase
- Bigquery
- Athena
- Mysql
- Sql
- S3
- Storage
- Redis
Command Bot
- Slack Bot
- Discord Bot
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 data exploration like Dune dashboard.
I have many practical applications and ideas for user and customer analysis on platforms such as broadcasting networks, e-commerce, social media, CDP. For example, how to get our customers' value, how to use external data and resources to get the data more benefit, and many other practical applications and ideas. My goal is to use data to make company growth successful and get more commany user info to maximize the benefits of data.
Let Data tell the true!!!
工作經歷
Senior Data Analyst
Portto 門戶科技| Blocto • 九月 2022- 三月 2024
- Main Responsibilities:
- Establishing Data Pipeline
- Exploring new product features and competitor analysis on Dune Dashboard on the EVM
- User tagging for the Growth team (including Discord bot for monitoring
- Project details:
- Data Pipeline
- Regularly integrating client-side and BE data with external APIs and data collected by bots on Bigquery
- Establishing a systematic coding data table combined with Slack bot command manual and automatic data replenishment
- Daily data monitoring with Slack bot
- Planning client-side (app, sdk js) Amplitude event tracking to maximize data collection
- Using existing data to set company and growth team short-term indicators and conducting demos with Looker Studio for easy operation
- Segmenting and analyzing user data to maximize marketing benefits for valuable users and facilitate customer service personnel in managing VVIP customers, similar to CDP
- Using bots and APIs to collect Discord and Twitter data regularly to monitor user feedback and interaction behavior
- Dune Dashboard
- Establishing statistical standards to monitor newer or rapidly popular Dapp projects on EVM
- Regularly monitoring competitor behavior on the blockchain for specific features (ex. AA, Batch tx of Blocto (smart contract wallet))
- Collaborating with BI to plan the entire product context and ideas, explore new markets as much as possible, and establish data strategies and projects needed for growth
- User tagging for the Growth team (including Discord bot for monitoring)
- Using on-chain data to periodically observe the relationship between assets and their transaction behavior interactions
- Using data from our own app to periodically check user interaction behavior and maximize its benefits, find patterns, and find ways to replicate to bring in more users.
- Data Pipeline
Machine learning engineer supervisor
Gamania 遊戲橘子數位科技股份有限公司 • 九月 2021 - 九月 2023
- Main Responsibilities:
- Maintaining the data pipeline for game logs in Lineage M game
- Planning data projects for Lineage M
- Establishing machine learning models for Lineage M
- Designing and optimizing the company's machine learning systems and processes
- Simulating and integrating data from the game platform and headquarters for the company
- Providing reports for monitoring abnormal game behaviors for operations
- Company Awards:
- The company MVP for December 2021
- Project detail:
- Player segmentation analysis
- Responsible for detecting specific player characteristics from game player logs and using k-means algorithm to group players to achieve initial player segmentation and game quality control. Additionally, establishing a data pipeline using data mining to appropriately punish illegal behavior players, forcing them to disappear from the game and improve the game experience, monitoring abnormal game recharge behavior, and further reducing the company's property loss in the game.
- MLOPS
- Designing a complete machine learning control process flowchart and architecture, establishing a template for the initial version of the model program control with the team, facilitating data preprocessing and version control of machine learning for various projects, monitoring the quality of all data predicted by the model, further reducing engineer maintenance time and more efficiently controlling online models. Additionally, it facilitates A/B testing and online testing when developing new models, making testing to online smoother and version rollback and management more convenient.
- Tag system architecture
- Designing a player behavior tag architecture diagram, hoping to achieve player behavior control and player marketing techniques.
- Player segmentation analysis
Data Analyst Supervisor
Clickforce 域動行銷股份有限公司 • 一月 2020 - 九月 2021
- Main Responsibilities:
- Optimizing SSP ad playback quality and report production
- Optimizing DSP ad effectiveness
- Optimizing DMP report production.
- Project detail:
- Auto crawler
- Automatically plans the required machines based on the number of newly added media sites each day, and distributes machine resources to save GCP VM costs. It crawls all sites and monitors the number of crawls daily through an automated report.
- BERT Model Predicts Article Categories and Combines with Word Segmentation System, TW-IWF, and WV
- Predicts each article's category and its associated keywords and similar keyword terms for advertisement and data analysis services to provide customers with web user analysis reports.
- Automated Recommender System for CTR
- Uses a Recommender System to predict clicks based on user behavior within the broadcast network. This has resulted in a growth of 2x or more in advertising CTR.
- Predicting Gender and Age with XGBoost (Predicts User's Real Gender and Age)
- Uses cookies to predict the gender and age of a user based on their behavior on various media platforms. The accuracy rate for gender prediction is 80%.
- Auto crawler
Research Assistant
NTU Center of Genomic and Precision Medicine • 十月 2019 - 一月 2020
- Main Responsibilities:
- Paper research
- Project detail:
- RNA IMPUTATION Research
- Predixcan&S-Predixcan Research
- I wrote the draft for the paper titled "A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models"
- RNA IMPUTATION Research
Side project
Biffinex Lending Bot
- Project Goal: To use the bot to assist members in lending USD assets at the best possible rates.
- Main Responsibilities:
- Training the model with the lending rate, period, and volume.
- Current Results:
- The lending rate spread for lower-tier members is 1-3% higher than that of competitors.
- Main Responsibilities:
- Future Vision:
- Iteration of existing functions
- Implementation of new functions
- Intelligent long/short ratio robot order book.
Education
Sep 2017 - Jun 2019
National Taiwan University
Institute of Epidemiology and Preventive Medicine (majored in bio-statistic)
論文: 以機器學習方法建構卵巢癌病患之基因預後模型 (參加ICIBM國際會議)
Published on Journal of Advanced Research May 2021
A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models (quoted by 15 times until 2024-03 )
Sep 2013 - Jun 2017
National Cheng Kung University
Statistics
Data Analysis Projects During School:
- Online News Popularity
- The Relationship Between Ice Cap Area and Sea Level
- Saint Tome Malaria Mosquito
- 2018 Taipei Mayoral Election Prediction
- The Hidden Dangers Behind Terrorist Attacks
- Semiconductor Process - Wafer Image Analysis
技能
Programming Language
- Ｒ
- Python
DataBase
- Bigquery
- Athena
- Mysql
- Sql
- S3
- Storage
- Redis
Command Bot
- Slack Bot
- Discord Bot