CakeResume Talent Search

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4-6 years
6-10 years
10-15 years
More than 15 years
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Avatar of the user.
門市人員/倉儲管理/活動企劃 @詮峰登山用品有限公司
2017 ~ Present
Project Manager、PM、專案經理、網站企劃、產品企劃、執行企劃
Within one month
Adobe Illustrator
Adobe Photoshop
Adobe InDesign
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立台灣藝術大學 NTUA
書畫藝術學系
Avatar of 蔡舜柔 Sama Tsai.
Avatar of 蔡舜柔 Sama Tsai.
Past
founder @三媽從來不說謊
2017 ~ Present
專案管理, 事業開發, 行銷, 關係維護
Within one month
財務管理、業務開發、專案督導,管理人數達11人。 ——————————————— ▶Web3 社群行銷顧問服務 ▶ComDAO 專注於協助 web3 項目 go-to-market,除了社群運營服務(包含 Discord、Line、twitter...各種平台),亦有社群顧問、行銷推廣企劃(collab 及 KOL 為主、PR...等)、線下活動企畫及執行,以及教育訓練講座,同
Facebook Fanpage Management
instagram marketing
Influencer Marketing
Unemployed
Ready to interview
Full-time / Interested in working remotely
10-15 years
世新大學 Shih Hsin University
觀光學系觀光規劃暨資源管理組
Avatar of the user.
Avatar of the user.
Past
Community Manager @Iron Fish Foundation
2023 ~ Present
Product Manager / Project Manager / Business Development / Growth Manager
Within one month
Slack
Zendesk
Notion
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中興大學
Chinese and Language studies
Avatar of 陶俊良.
Offline
Avatar of 陶俊良.
Offline
資料分析師 Data Analyst @Portto 門戶科技| Blocto
2022 ~ 2024
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
data. Let Data tell the true!!! 工作經歷 Senior Data Analyst Portto 門戶科技| Blocto • 九月三 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
python
R
MySQL
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
Avatar of the user.
Avatar of the user.
Past
Senior Backend Engineer @Freelance, self-employed
2021 ~ Present
Backend engineer
Within one month
Crawler
MongoDB
Neo4J
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Shih Hsin University
Information Management
Avatar of Mumu Tseng.
Avatar of Mumu Tseng.
Past
品牌行銷企劃 Brand Marketing Specialist @乂迪生教育科技有限公司
2022 ~ 2023
企劃、文案或編輯
Within one month
片攝影、電影,關注體育、電競賽事和網路議題,對數位時代的各種新科技充滿好奇心,同時也是社群論壇的重度使用者(PTT、Facebook、Discord、Dcard等)。 喜愛經營網路社群與執行創意企劃,樂於看見它們付諸實現的時刻,熟悉並熱愛彈性且自由度高的遠端工作模式
Google Drive
Photoshop
Notion
Unemployed
Ready to interview
Full-time / Remote Only
6-10 years
國立台北科技大學 NTUT
建築系
Avatar of 楊博荏.
Avatar of 楊博荏.
Design Lead @DigiFinex PTE. LTD. (Singapore)
2022 ~ 2023
UI/UX/產品設計
Within one month
代 2. 關注區塊鏈與 NFT 市場現況,MVP 快速進行商業模式、市場驗證 3. 產品前期規劃、Flow 流程、設計執行 4. 使用者訪談、Smartlook、Discord 社群回饋意見,進行產品優化與迭代 5. Jira & Confluence 管理工作任務、時程與分工 6. 品牌價值主張定義和風格營造,配合行銷
HTML/CSS
Sketch
UX Research
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
創新設計研究所 - 設計心理Lab
Avatar of 江沛儀.
Avatar of 江沛儀.
群眾集資行銷顧問/視覺設計 @Freelancer
2021 ~ Present
專案經理、產品經理、創意總監、設計管理
Within one month
司 2022 As the leader of a 14-person team, I oversaw the development and planning of three product lines, including NFT projects, PC games, and figures. 【NFT project】 - Successfully completed IP setting, character art setting, and road map planning in just 2 months, - Received over 10K Twitter/Discord followers within the first month. - NFT 3333pcs free mint sold out in just 5 minutes. 【PC Game Development 】 - Formed a basic game development team (8 people) in 2 months. - Completed the game story setting, level design, and visual art for a 45-second video demonstration in
Illustrator
Photoshop
Slack
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
台灣藝術大學
工藝設計系
Avatar of 余松庭.
Avatar of 余松庭.
後端工程師組長 @酷必資訊股份有限公司
2022 ~ Present
後端工程師,Team Lead。
Within one month
合經驗 (開雲, 瑞太, 輔翼, 群豐熟悉 LINE Bot API 串接(Message API, LINE Login, Liff) 擅長 Process/Thread 觀念來改善執行效率問題並提升水平擴展 擅長 LINE Notify、Discord、Slack 等第三方 API 進行錯誤排查通知、節省溝通成本 擅長 Google Sheet、Kafka Queue、Rabbit MQ、Redis Pub/Sub 非同步資料處理 擅長 PM2、Supervisor 進行服務常駐
JavaScript
PHP
jQuery
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
私立吳鳳科技大學
資訊管理系
Avatar of Wai Fong.
Avatar of Wai Fong.
Product Manager @rybit
2023 ~ Present
Product manager
Within two months
zero to one, which helping creators / gaming studio launch ERC-721 collection on Cronos included white-gloves service, upload to IPFS, whitelist service, minting contract. Co-operate with defi-wallet team for wallet account-abstraction, cloud backup and further leverage by gaming ecosystem. Build Crypto.com Discord bot NFT Verification from zero to one, first and only discord bot for Crypto.org chain. Support more than 15 discord server and drive traffic to Crypto.com NFT marketplace and incentive to end user & Creators. Build Cronos first NFT Faucet, provide UI interface to
PowerPoint
Word
Google Analytics
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Chengchi University
Technology management

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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
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Within one month
Supervisor Machine Learning Engineer
Portto 門戶科技| Blocto
2022 ~ 2024
Taipei, 台灣
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
python
R
MySQL
PhpMyAdmin
AWS
BigQuery
Big Data
Machine Learning
Deep Learning
Autoscaling
Statistical Analysis
Google Cloud Platform
Linux
Tableau
Blockchain
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
Print

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
Profile

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