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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
DeFi Engineer @OpenOcean Finance2023 ~ 2024
・
Blockchain Developer
Within one month
Unemployed
・
Ready to interview
Full-time / Remote Only
4-6 years
Kyiv National Taras Shevchenko University
・
Computer SciencePast
Full Stack Engineer @Nautilus Assure2023 ~ Present
・
Blockchain Developer, Back-End Developer, Full Stack Developer
Within one month
Unemployed
・
Ready to interview
Full-time / Remote Only
6-10 years
Kobe University
・
Computer Applications營運副理 @Ace Exchange 王牌數位創新股份有限公司2022 ~ Present
・
市場開發、營運主管、專案經理
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
・
企業管理
Past
理事長 @台灣性別不明關懷協會2009 ~ Present
・
專案主管、資安經理、資安顧問、資訊主管、資安工程師、網路工程師
Within one month
吳伊婷 Abbygail ET Wu 資安工程師 後端工程師 社會運動工作者 資安講師 2024 不分區立委落選人 2017 關鍵評論網十大人物 Taipei, Taiwan 作為一名資安工程師和跨性別運動者，我深信科技和人權之間的交織能夠創造出更加包容和安全的社會。 在我的職業生涯中
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
China-Hong Kong English School 中港英文學校
・
Gerneral Business
Past
Front End Developer @Open Agent2017 ~ 2019
・
Front-End / Back-End / Full Stack Web Developer
Within two months
developed robust token Bridges for frictionless asset transfers between blockchain networks and implemented Cross-Chain solutions. • Leveraged Web3.js and Ethers.js to establish seamless interaction between the React.js front-end and smart contract. • Constructed and integrated an internal back-end synchronized with the blockchain database, utilizing Node.js and Express.js. • Utilized GraphQL API to enhance communication performance between the front-end and back-end. • Managed the CI / CD solution for a development team using the CircleCI tool, Bitbucket, Github and AWS Lambda functions. Blockchain Developer • Defichain
Unemployed
・
Ready to interview
Full-time / Remote Only
6-10 years
Victoria University
・
Computer Science
Offline
Offline
資料分析師 Data Analyst @Portto 門戶科技| Blocto2022 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
臺灣大學
・
流行病學與預防醫學所 生物統計組
產品總監 @禾亞數位科技股份有限公司2022 ~ Present
・
Product manager, Senior Product Manager, Product Director
Within one month
Lucas Chang Group Product Manager As a Group Product Manager with 5 years of experience in product management and 7 years in product development, I possess outstanding skills in product planning and execution to address user pain points. I have a strong ability to organize collaborative processes and solve complex problems, from strategizing and roadmapping to driving MVP initiatives, accumulating extensive experience in product development from concept to launch. My Website: https://hylucaschang.wixsite.com/profile Skill Product Planning Strategy and roadmap Business model analysis User research Data insight analysis Product prototyping Product
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
國立台灣科技大學 National Taiwan University of Science and Technology
・
電機工程系
Past
產品設計師 @曠世智能股份有限公司（微股力）2023 ~ 2023
・
UI/UX設計師、產品設計
Within one month
化產品。 ．交辦與帶領 Junior Designer 完成任務。 Education 台北實踐大學 - 媒體傳達設計學系 2008//01 Product Designer • 阿爾法比特科技有限公司 2021//02 區塊鏈 SaaS 產品設計及優化 ．產品設計：介面設計、使用者體驗、網頁設計、Icon、視覺設計、CIS。 ．功能規劃與產出：UI Flow、Wireframe、Mockup、Prototype、Design Spec。 ．分析
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
實踐大學（Shih Chien University）
・
媒體傳達設計學系
數位金融產品經理 @台新國際商業銀行 TAISHIN BANK2022 ~ Present
・
AI專案導入/數位轉型規劃/數位金融平台維運
Within one month
後續獲得基隆市政府多項單位合作機會舉辦在地沙龍講座。 數位行銷專員 • 緯育股份有限公司 十二月七月 2018 ●2016年即發表區塊鏈NFT應用文章 https//blog.tibame.com/?p=2638 ●Adwords, FB廣告投放優化：TibaMe線上課程營收從去年6月的13.4萬成長至每月120
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
臺北市立大學 University of Taipei
・
Psychology & Counseling
Frontend Architect / Lead @Elemental2021 ~ 2023
・
Frontend Developer
Within one month
Belgrade, Serbia [email protected] Marko Bogdanovski L5 Software Engineer - NodeJS | Go | Blockchain I specialize in building SaaS applications powered by Blockchain and AI technologies. My core competency lies in end-to-end complete management of new project development, with a focus on custom-tailored apps and services for businesses. Work Experience Full Stack Engineer Ledger Leopard • August 2023 — Present — Developing systems and services based on OpenAI and Blockchain technologies. Frontend Lead Elemental • January 2021 — July 2023 — Worked closely with the CTO to define objectives and align them with the company's strategic
Employed
・
Ready to interview
Full-time / Remote Only
6-10 years
ETS "Nikola Tesla"
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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