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On
4-6 years
6-10 years
10-15 years
More than 15 years
Marketing associate
Within one year
content team: selected, trained, and coached Watsi writers for cohesive voice across digital platforms Developed an information-sharing platform to optimize the company's content writing process Outcome: Help drive peak season donation records, surpassing forecasts by 140% Analyst/Researcher, AprilSeptember 2014 Formulated and tested hypotheses using a statistical programming language (R) Managed multiple stakeholders, including the Federal Government, academic researchers, and medical doctors in order to collect and standardize research collected data for almost one-million patients. Outcome: Ran numerous complex analyses to generate recommendations for policy makers regarding cancer, radiation and obesity Projects Marketing strategy Created
Ready to interview
Full-time / Interested in working remotely
4-6 years
University of St Andrews
・
Marketing/Research
Employed
Full-time / Interested in working remotely
6-10 years
中正大學
・
統計科學研究所
Product Development Lead @CellPoint Digital2019 ~ Present
・
Architect, Interior designer, Technical Engineer
Within one year
into the application, we have helped organizations scale up and improve their support quality with automation tools. Had the opportunity to integrate Ubersmith - Business automation and developed various automation tools in a product leadership capability at Phychz networks (Winlin Tech), a well-known data-center service provider. Skills Programming Language PHP (Pro) Python Go Language R Programming Web Service REST API Design & Development JSON, XML XSLT XQuery, XPath, XSD, YML OpenAPI Specification Swagger - API Doc Tool Authentication & Authorization Security & Optimization Open Web Application Security Project(OWASP) Request Rate Limit SQL Injection XSS | CSRF | DDoS Google Page Speed GTMatix
Employed
Full-time / Interested in working remotely
More than 15 years
Rajiv Gandhi Prodyogiki Vishwavidyalaya
・
Master of computer application
資料探勘經理 @大潤發2015 ~ 2020
・
數據分析師、資料探勘、演算法工程師
More than one year
VIP customers, increase turnover and customers flow. Define customers' value, new features, and the degree of favorite. Predict churn of customers and find potential purchasers. Personalize campaigns and evaluate the result. Make auto report and quantify effect for different activities. Others project: Brand relation, Customer groups, Category importance, Potential/Churn region, etc. Education Advanced R Programming course, 2017 Information System Training Program of Engineering, National Taiwan University The Data Scientist’s Toolbox course, 2017 Johns Hopkins University Professionalism Coursera, 2014 Tamkang University Bachelor of Science - BS, Mathematics, 2014 Programming Languages R, Python SQL
Full-time / Interested in working remotely
4-6 years
淡江
・
數學
Optimization Algorithm Engineer @Taiwan Semiconductor Manufacturing 台灣積體電路製造股份有限公司2020 ~ Present
・
Algorithm Designer
Within one year
A resourceful operation analyst with sharp quantitative and programming skills possesses 3-year experience deal with optimization problem in Semiconductor Company, TFT-LCD Panel Industry, specialty memory IC company, printed circuit board (PCB) industry, and Electronic Assembly Manufacturer. Here's my LinkedIn , Personal Web , mail and GitHub Advanced Skills Programming Language Familiar with Object Oriented Programming(C++, Java, C#) and other high-level programming language including R, Python and Excel VBA. Operation Research An optimal analyst possesses 3-year experience deal with optimization problem. Work on and Explore occupations related to algorithms, combinatorics and
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Industrial EngineeringFull-time / Interested in working remotely
6-10 years
國立台北大學
・
統計
Past
Sales Manager @Fubon Multimedia Technology Co., Ltd2018 ~ 2021
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one year
朱福銘 Sales Manager Taipei City, Taiwan 文化場域專家, 資料科學家, 業務擔當 20年實體場域與EC通路 經營與執行 https://www.openbook.org.tw/article/p工作經歷 Sales Manager • Fubon Multimedia Technology Co., Ltd 八月六月 2021 Programming language : Java and Python R + Spark Hadoop. Web : HTML/CSS/Javascript. jQuery , React Develop tools : Visual Studio. Database : Oracle PL/SQL. Cloud
Unemployed
Full-time / Interested in working remotely
More than 15 years
Fu Jen Catholic University
・
Master of Liberal Arts
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Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學
・
工商心理學
Account Manager @美商安邁科技股份有限公司台灣分公司2020 ~ Present
・
Key account Manager
Within one month
Bowen CHEN (Bo-An CHEN) 2F., No. 17, Sec. 3, Tingzhou Rd., Zhongzheng Dist., Taipei City 100, Taiwan // [email protected] EDUCATION National Chengchi University (NCCU) Taipei, Taiwan Major in Sociology SepJun 2017 Elected class representative in four consecutive years Graduated with 3.8 out of 4 GPA (Top 30%) Courses outside of major (GPA: 4/4): Economics, Marketing and Management, Research Method, Data Analysis (SPSS, SAS), Big Data Society (R), Programming and Statistical Software, Psychology National Hsinchu Senior High School Hsinchu, Taiwan SepJun 2013 WORK EXPERIENCE National Chengchi
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi University (NCCU)
・
SociologyThe 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