CakeResume Talent Search

上級
On
4〜6年
6〜10年
10〜15年
15年以上
Avatar of 陶俊良.
オフライン
Avatar of 陶俊良.
オフライン
資料分析師 Data Analyst @Portto 門戶科技| Blocto
2022 ~ 2024
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
1ヶ月以内
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
python
R
MySQL
就職中
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
臺灣大學
流行病學與預防醫學所 生物統計組
Avatar of 林暘閔.
Avatar of 林暘閔.
Integration Engineer @Shyft Network
2022 ~ 現在
全端/後端工程師
1ヶ月以内
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
php
jquery
bootstrap
就職中
就職希望
フルタイム / リモートワークのみ
6〜10年
景文科技大學
資訊科技
Avatar of Man Ling Sun.
Avatar of Man Ling Sun.
Biz-Solution Product Manager @LINE Taiwan Limited
2019 ~ 現在
Product Manager, Project Management, Process Design
1ヶ月以内
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
Word
Excel
PowerPoint
就職中
就職希望
パートタイム / リモートワークのみ
6〜10年
輔仁大學
英國語文學系, 對外華語教學
Avatar of the user.
Avatar of the user.
網站技術經理 @城邦媒體控股集團
成長駭客
1ヶ月以内
Word
Google Drive
Excel
フルタイム / リモートワークに興味あり
10〜15年
實踐大學
企業管理
Avatar of 陳柄宏.
Avatar of 陳柄宏.
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
1ヶ月以内
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
git
hadoop ecosystem
MongoDB
就職中
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
輔仁大學
圖書資訊
Avatar of the user.
Avatar of the user.
Assistant Manager - Direct Marketing of North Asia ( TW & HK ) @Brands Suntory Taiwan
2019 ~ 現在
Senior Digital Account Director
1ヶ月以内
Digital Marketing
Data Analytics
CRM
就職中
フルタイム / リモートワークに興味あり
10〜15年
輔仁大學
社會工作, 影像傳播
Avatar of the user.
Avatar of the user.
Product Design Manager @Gogolook Co., Ltd
2021 ~ 現在
Senior Product Designer
6ヶ月以内
Illustrator
Product Design
User Experience Design
就職中
フルタイム / リモートワークに興味あり
6〜10年
Shih Chien University
Industrial Design
Avatar of Joyce Tsai.
Avatar of Joyce Tsai.
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
3ヶ月以内
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
Google Analytics
Google Ad Manager (DFP)
Google Datastudio
就職中
フルタイム / リモートワークのみ
4〜6年
輔仁大學
經濟研究所
Avatar of Max Cheng.
Avatar of Max Cheng.
Past
廣告經理 @週一行銷顧問有限公司
2020 ~ 2022
Account Manager
1年以内
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
Facebook廣告投放
Google Analytics
PowerPoint
無職
フルタイム / リモートワークに興味あり
6〜10年
正修科技大學應用外語系
應用外語
Avatar of ILMUDDIN QURESHI.
Avatar of ILMUDDIN QURESHI.
Sr. Chemist @POWERMECH PROJECTS LTD
2016 ~ 現在
1年以上
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
Over 15+years of extensive experience in Power Plant (600MW) water chemistry
environment and Erection
commissioning and operation (RO
フルタイム / リモートワークに興味あり
10〜15年
Singhania University
M.Sc. Chemistry

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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
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Leadership
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1ヶ月以内
Supervisor Machine Learning Engineer
Portto 門戶科技| Blocto
2022 ~ 2024
Taipei, 台灣
Professional Background
現在の状況
就職中
求人検索の進捗
面接の用意ができています
Professions
Data Scientist, Machine Learning Engineer, Information Analyst
Fields of Employment
Games, ブロックチェーン, デジタルマーケティング/データマーケティング
職務経験
4〜6年
Management
I've had experience in managing 1-5 people
スキル
python
R
MySQL
PhpMyAdmin
AWS
BigQuery
Big Data
Machine Learning
Deep Learning
Autoscaling
Statistical Analysis
Google Cloud Platform
Linux
Tableau
Blockchain
言語
English
中級者
Chinese
ネイティブまたはバイリンガル
Job search preferences
希望のポジション
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
求人タイプ
フルタイム
希望の勤務地
Taipei, 台灣, Tainan, 東區台南市台灣
リモートワーク
リモートワークに興味あり
Freelance
はい、私はアマチュアのフリーランスです。
学歴
学校
臺灣大學
専攻
流行病學與預防醫學所 生物統計組
印刷

陶俊良 

(Tao,Chun-Liang)

  Taipei, Taiwan

Email: [email protected]

Phone: 0910785016

  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:
    1. Data Pipeline
      1. Regularly integrating client-side and BE data with external APIs and data collected by bots on Bigquery
      2. Establishing a systematic coding data table combined with Slack bot command manual and automatic data replenishment
      3. Daily data monitoring with Slack bot
      4. Planning client-side (app, sdk js) Amplitude event tracking to maximize data collection
      5. Using existing data to set company and growth team short-term indicators and conducting demos with Looker Studio for easy operation
      6. Segmenting and analyzing user data to maximize marketing benefits for valuable users and facilitate customer service personnel in managing VVIP customers, similar to CDP
      7. Using bots and APIs to collect Discord and Twitter data regularly to monitor user feedback and interaction behavior
    2. Dune Dashboard
      1. Establishing statistical standards to monitor newer or rapidly popular Dapp projects on EVM
      2. Regularly monitoring competitor behavior on the blockchain for specific features (ex. AA, Batch tx of Blocto (smart contract wallet))
      3. 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
    3. User tagging for the Growth team (including Discord bot for monitoring)
      1. Using on-chain data to periodically observe the relationship between assets and their transaction behavior interactions
      2. 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.

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:
    1. Player segmentation analysis
      1. 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.
    2. MLOPS
      1. 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.
    3. Tag system architecture
      1. Designing a player behavior tag architecture diagram, hoping to achieve player behavior control and player marketing techniques.

 

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:
    1. Auto crawler 
      1. 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.
    2. BERT Model Predicts Article Categories and Combines with Word Segmentation System, TW-IWF, and WV
      1. 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.
    3. Automated Recommender System for CTR 
      1. 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.
    4. Predicting Gender and Age with XGBoost (Predicts User's Real Gender and Age)
      1. 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%.

Research Assistant

NTU Center of Genomic and Precision Medicine  •  十月 2019 - 一月 2020

  • Main Responsibilities:
    • Paper research 
  • Project detail:
    1. RNA IMPUTATION Research
      1. Predixcan&S-Predixcan Research 
    2. I wrote the draft for the paper titled "A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models"

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.
  • 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:

  1. Online News Popularity
  2. The Relationship Between Ice Cap Area and Sea Level
  3. Saint Tome Malaria Mosquito
  4. 2018 Taipei Mayoral Election Prediction
  5. The Hidden Dangers Behind Terrorist Attacks
  6. Semiconductor Process - Wafer Image Analysis

技能

Programming Language


  • Python

DataBase


  • Bigquery
  • Athena
  • Mysql
  • Sql
  • S3
  • Storage
  • Redis

Cloud Platform


  • AWS
  • GCP

Command Bot


  • Slack Bot
  • Discord Bot

Dashboard & Event tracking 


Resume
プロフィール

陶俊良 

(Tao,Chun-Liang)

  Taipei, Taiwan

Email: [email protected]

Phone: 0910785016

  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:
    1. Data Pipeline
      1. Regularly integrating client-side and BE data with external APIs and data collected by bots on Bigquery
      2. Establishing a systematic coding data table combined with Slack bot command manual and automatic data replenishment
      3. Daily data monitoring with Slack bot
      4. Planning client-side (app, sdk js) Amplitude event tracking to maximize data collection
      5. Using existing data to set company and growth team short-term indicators and conducting demos with Looker Studio for easy operation
      6. Segmenting and analyzing user data to maximize marketing benefits for valuable users and facilitate customer service personnel in managing VVIP customers, similar to CDP
      7. Using bots and APIs to collect Discord and Twitter data regularly to monitor user feedback and interaction behavior
    2. Dune Dashboard
      1. Establishing statistical standards to monitor newer or rapidly popular Dapp projects on EVM
      2. Regularly monitoring competitor behavior on the blockchain for specific features (ex. AA, Batch tx of Blocto (smart contract wallet))
      3. 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
    3. User tagging for the Growth team (including Discord bot for monitoring)
      1. Using on-chain data to periodically observe the relationship between assets and their transaction behavior interactions
      2. 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.

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:
    1. Player segmentation analysis
      1. 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.
    2. MLOPS
      1. 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.
    3. Tag system architecture
      1. Designing a player behavior tag architecture diagram, hoping to achieve player behavior control and player marketing techniques.

 

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:
    1. Auto crawler 
      1. 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.
    2. BERT Model Predicts Article Categories and Combines with Word Segmentation System, TW-IWF, and WV
      1. 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.
    3. Automated Recommender System for CTR 
      1. 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.
    4. Predicting Gender and Age with XGBoost (Predicts User's Real Gender and Age)
      1. 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%.

Research Assistant

NTU Center of Genomic and Precision Medicine  •  十月 2019 - 一月 2020

  • Main Responsibilities:
    • Paper research 
  • Project detail:
    1. RNA IMPUTATION Research
      1. Predixcan&S-Predixcan Research 
    2. I wrote the draft for the paper titled "A risk prediction model of gene signatures in ovarian cancer through bagging of GA-XGBoost models"

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.
  • 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:

  1. Online News Popularity
  2. The Relationship Between Ice Cap Area and Sea Level
  3. Saint Tome Malaria Mosquito
  4. 2018 Taipei Mayoral Election Prediction
  5. The Hidden Dangers Behind Terrorist Attacks
  6. Semiconductor Process - Wafer Image Analysis

技能

Programming Language


  • Python

DataBase


  • Bigquery
  • Athena
  • Mysql
  • Sql
  • S3
  • Storage
  • Redis

Cloud Platform


  • AWS
  • GCP

Command Bot


  • Slack Bot
  • Discord Bot

Dashboard & Event tracking