CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
離線
離線
資料分析師 Data Analyst @Portto 門戶科技| Blocto2022 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
一個月內
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
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
臺灣大學
・
流行病學與預防醫學所 生物統計組
Integration Engineer @Shyft Network2022 ~ 現在
・
全端/後端工程師
一個月內
PostgreSQL、BigQuery 、Athena、Redis 雲端: GCP、 AWS 框架: Yii 、 Laravel、CodeIgniter 版控: Git (CI/CD) 其他應用: Ubuntu、Nginx、Docker、WebSocket 域動行銷, 資深技術主任, Mar 2019 ~ Jul 2021 域動擁有自己的SSP、DSP、DMP，去做廣告的精準投遞， 開發/維護系統與幫助Team Member是我主要負責的工作範疇， 維護EAS帳務報表系統並每個月執行帳款
就職中
・
目前會考慮了解新的機會
全職 / 我只想遠端工作
6 到 10 年
景文科技大學
・
資訊科技
Biz-Solution Product Manager @LINE Taiwan Limited2019 ~ 現在
・
Product Manager, Project Management, Process Design
一個月內
經驗、需求、錯誤排查、報表數據監控 SSP的產品規劃與開發，包含功能SPEC制定、Wireframe設計、UX/UI改善、開發排程、成果驗收 與自有DSP、DMP部門跨系統合作，進行流量面的數據指標分析、應用、優化策略 維護、管理合作媒體的客戶關係，並以視覺化圖表，提供客戶
就職中
・
目前會考慮了解新的機會
兼職 / 我只想遠端工作
6 到 10 年
輔仁大學
・
英國語文學系, 對外華語教學
全職 / 對遠端工作有興趣
10 到 15 年
實踐大學
・
企業管理
Staff Cloud Architect Enginner @域動行銷股份有限公司2023 ~ 現在
・
雲端工程師，雲端架構師，數據架構師
一個月內
有Microsoft Certified: Azure Solutions Architect Expert 及 Data enginner 證照 AWS 持有 AWS Certified Solutions Architect – Professional 證照 工作經歷 Staff Cloud Architect Enginner , 域動行銷股份有限公司, May 2023 ~ Feb廣告平台(ADserver, SSP, DSP, DMP)雲端環境架構設計、重構專案 2. 數據平台(Data Platform)雲端環境架構設計、重構專案 3. AWS、GCP跨雲架構設計 AWS Solution Architect , 銓鍇國際
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
4 到 6 年
輔仁大學
・
圖書資訊Assistant Manager - Direct Marketing of North Asia ( TW & HK ) @Brands Suntory Taiwan2019 ~ 現在
・
Senior Digital Account Director
一個月內
就職中
全職 / 對遠端工作有興趣
10 到 15 年
輔仁大學
・
社會工作, 影像傳播就職中
全職 / 對遠端工作有興趣
6 到 10 年
Shih Chien University
・
Industrial Design
Assistant Ad Optimization Manager @優像數位媒體科技股份有限公司2020 ~ 現在
・
業務經理、商務開發、客戶經理、廣告優化、數據分析
三個月內
化 4. 數據處理、分析並視覺化 5. 跨部門溝通及共事 ＃ 專案 1. 導入及運營 Prebid 2. 導入第三方文章推薦模組 3. 參與DMP變現專案 4. 參與 使用者身份匹配專案 ＃ 成果 1. 為團隊設計自動化試算表，降低80%團隊時間成本 2. 在流量下滑時
就職中
全職 / 我只想遠端工作
4 到 6 年
輔仁大學
・
經濟研究所
曾任
廣告經理 @週一行銷顧問有限公司2020 ~ 2022
・
Account Manager
一年內
網站內容管理、品牌活動策劃及商品規格表正確性校正 協助IT部門回報UX/UI路徑設計錯誤和回報SAAS BUG 使用IT部門DSP&DMP執行廣告帳號管理和廣告預算規劃並投放在Facebook平台 就要創意事業有限公司 - 活動行銷企劃專員，2012 年 8 月年 4 月 公司
待業中
全職 / 對遠端工作有興趣
6 到 10 年
正修科技大學應用外語系
・
應用外語
Sr. Chemist @POWERMECH PROJECTS LTD2016 ~ 現在
・
超過一年
ILMUDDIN QURESHI Power Plant Sr. Chemist Ras, Rajasthan, India Over 15+years of extensive experience in Power Plant (600MW) water chemistry, environment and Erection, commissioning and operation (RO, DMP, CPU, ZED, STP) of Water Treatment Plant. Work Experience Sr. Chemist • POWERMECH PROJECTS LTD AprilPresent Responsible for maintaining the DM plant, RO Plant, UF System, ETP and STP, Boiler Water, & Cooling Water parameters according to their Operational design value & COC by Closed Monitoring By various analytical test procedures & Ensure to make system free from Corrosion, Scaling, chocking, fouling , Algal & Bacterial Bi – products. Responsible for maintaining all
全職 / 對遠端工作有興趣
10 到 15 年
Singhania University
・
M.Sc. Chemistry最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
正在積極求職中
專業
數據科學家, 機器學習工程師, 資料分析師
產業
遊戲, 區塊鏈, 數位行銷 / 數據行銷
工作年資
4 到 6 年
管理經歷
我有管理 1～5 人的經驗
技能
語言能力
English
・
中階
Chinese
・
母語或雙語
求職偏好
希望獲得的職位
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
預期工作模式
全職
期望的工作地點
Taipei, 台灣, Tainan, 東區台南市台灣
遠端工作意願
對遠端工作有興趣
接案服務
是，我利用業餘時間接案
學歷
學校
臺灣大學
主修科系
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