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Avatar of Ting Cheng.
Avatar of Ting Cheng.
Mobile Software Engineer @第一網站股份有限公司
2015 ~ Present
Mobile Software Engineer
Within one month
框架(電視盒,手機,平板電腦) ✔ 構建渠道部署 apk ✔ 規劃和導入 Jenkins 整合測試在 Android 開發上 ✔ 規劃和導入 git flow 在 android 開發上 KKBOX Inc, PHP Engineer, Mar 2011 ~ Jun網站和活動網頁的 PHP 程式維護 屏東教育網路中心, IT 工程師, Jan 2009 ~ Oct維護校園網路 2. 建立各學校用的網站
PHP
Linux
Android
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
國立高雄大學
資訊管理學系
Avatar of the user.
Avatar of the user.
.Net 工程師 @凱文科技 Kaven Technology
2023 ~ Present
軟體開發
Within one month
PHP
Laravel
C#
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台北科技大學
工業工程管理系
Avatar of the user.
Avatar of the user.
Past
軟體工程師 @智慧時尚股份有限公司
2014 ~ 2023
全端/後端工程師
Within one month
PHP
Yii2
Laravel
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
環球科技大學
資管系
Avatar of Zell Yang.
Avatar of Zell Yang.
軟體開發主管 @薩摩亞商馬紹爾發展投資有限公司
2018 ~ Present
資深軟體工程師
Within one month
發(Solidity with ERC721) , 商用網站設計(PHP Laravel, Vue, MariaDB) iOS專案主管 • 永沛川有限公司 JulOctyaer and 4 month) 產品發想 , App軟體開發(SWIFT , Objective-C) , PHP後台/服務開發(PHP原生 , MariaDB) , 產品管理 , 人員配置管理 , App上架 , GCP伺服器管理 iOS軟體工程師 • 聯聚資訊 MayJulyear and 3 month) App專案開發(Objective-C) , PHP後台開發(PHP
PHP
ObjectiveC
Python
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
私立南台科技大學
資訊工程
Avatar of Adhitya Dwi Prasetyo.
Avatar of Adhitya Dwi Prasetyo.
Past
Senior Back End Software Developer @PT Profeed Social Media Management
2023 ~ 2024
Front-End / Back-End / Full Stack Web Developer / Software Engineer
Within one month
Adhitya Dwi Prasetyo Sidoarjo, Jawa Timur, [email protected] https://www.linkedin.com/in/vanpersietyo https://vanpersietyo.my.id I am a Bachelor of Infromatics Engineering from UPN Veteran East Java with the honor Best Graduate with a GPA ofI have more than 6 years of experience in the field of software development, especially for Backend using PHP Laravel and am used to using OOP concepts and Agile Methodology for software development. Apart from that, I also have experience in the Front End field, especially
MySQL Database
PHP
Git
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Universitas Pembangunan Nasional Veteran Jawa Timur
Informatics Engineering
Avatar of 游彥禹.
Avatar of 游彥禹.
專案管理師 @華立企業股份有限公司
2023 ~ Present
後端工程師/軟體工程師
Within one month
/04 ~ 2018/11 開始於玩子科技擔任程式工程師,負責網站開發,資料庫設計,主要使用公司內部開發的架構作開發,主要負責PHP的網站開發偶爾會有些ASP.NET C#的開發其中主要都是實作EC網站,裡面功能包含金流、物流、庫存、購物車等相關開發
C#
PHP
SQL Server
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
元智大學 Yuan Ze University
資訊傳播
Avatar of 陳婉怡.
Avatar of 陳婉怡.
網站工程師 @藝想科技有限公司
2018 ~ Present
網站工程師
Within one month
登入等。進行測試與除錯,保證網站的穩定運行。並協助部門人員能夠熟練操作和維護網站。 熟悉前端與後端開發技術,擅長PHP、HTML、CSS、JavaScript、MsSQL、MySQL等語言及相關框架。且具備 WordPress themes、plugins 開發經驗。 網站工程師 • 齊力網路股份有限公司 七月六月 2018 搭建和維護接
MsSQL / MySQL
PHP
HTML/CSS
Employed
Ready to interview
Full-time / Remote Only
6-10 years
私立南台科技大學
多媒體與娛樂發展科學
Avatar of the user.
Avatar of the user.
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
Security
Security Administration
PHP
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
Avatar of 蔡福人.
Avatar of 蔡福人.
Past
軟體助理工程師 @逍遙有限公司
2021 ~ 2024
軟體工程師、全端工程師、前端工程師
Within one month
示 六月十二月 2020 Taipei, Taiwan 網頁美工 大台灣旅遊網股份有限公司 用AI跟PS編輯網頁專輯的排版後傳給工程師 學歷嶺東科技大學 科技商品設計系 Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. 技能 WordPress JavaScript Bootstrap PHP Python HTML/CSS MySQL 語言 Chinese — 母語或雙語
WordPress
JavaScript
Bootstrap
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
嶺東科技大學
科技商品設計系
Avatar of Ran.
Avatar of Ran.
Web Developer @媽咪愛 MamiLove
2022 ~ Present
Full Stack Web Developer
Within one month
網站、後臺系統、SaaS 系統、會員多元功能平台...等, 相關案例歡迎參照下方的專案作品。 技術應用標籤 環境:LNMP (Linux, Nginx, MySQL / MariaDB, PHP) 後端:Laravel 5 ~ Master 前端:Bootstrap + jQuery + Webpack (Laravel Mix) 套件管理:Composer, npm / Yarn 快取資料庫:Redis 伺服器相關:Linode, AWS S3, Cloudflare, CloudFront API 開發:RESTful API, Webhook, OAuth 2, Postman, Stoplight API
Linux
CentOS
Nginx
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Tamkang University (TKU)
資訊工程學系

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Technical Skills
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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
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Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
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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