Led multiple projects with multi-engineer teams, collaborating with teams across Taiwan and Japan in an international development environment. Designed and implemented scalable system architectures, APIs, and features for various software solutions. Applied Domain-Driven Design (DDD) and Test-Driven Development (TDD) methodologies to enhance software quality and maintainability. Conducted code reviews, architectural planning, and technical mentorship to ensure high development standards. Engaged in cross-border collaboration with engineers and product teams in Japan. AugustJanuary 2021 Teaching Assistant • Tamkang University Assisted in the Big Data Analytics Techniques course, providing technical support and...

Python

Docker

Git

Taiwan

Full-time / Interested in working remotely

4-6 years

Tamkang University

・

Computer Science and Information Engineering

許雅雯

Product Manager

Within one month

charging system platform and charging station User APP, carbon steward platform, one-stop energy solution. P romote in 13 states in North America. A charging station has been set up in Madisonville, KY HUCK'S for operation by 2022/2~2023 /9 . Smart city AIoT big data system is used in smart government, technological law enforcement, and urban operation and maintenance and revenue has reached about NT 230 million by2020/1~ 2021/12 . Served as member marketing for the Foxconn BANDOTT smart TV box platform. It achieved a revenue growth rate

Full-time / Interested in working remotely

More than 15 years

CHU-CHIEH HUANG

蝕刻製程工程師 @華邦電子股份有限公司(Winbond)

・

2016 ~ Present

Engineer

Within one month

reducing SAHD count.27 layers Cpk improve over 20%. Member of the AMC micro-contaminant team, addressing and resolving wafer condensation issues. Developed standardized production procedures and planned product manufacturing processes. Established systems for anomaly analysis and monitoring. Pioneer in PHM/VM analysis, leveraging big data and LASSO modeling to create six fully operational detection models. Collaborated on the PHM project with a professor from National Taiwan University of Science and Technology. Monitored process equipment and key parameters to ensure optimal performance. Used professional equipment knowledge to assist colleagues in improving

Word

Excel

PowerPoint

Full-time / Interested in working remotely

More than 15 years

大葉大學 DaYeh University

・

電機工程

Available for paid companies

Past

Senior Specialist @CNA Insurance Company

・

2022 ~ 2024

Software Engineer

Within one month

Node.js

python

java

United States

Full-time / Interested in working remotely

University of Arkansas

・

Computer Science

Upgrade to View

Available for paid companies

第三期畢業生 @台灣人工智慧學校

・

2018 ~ 2019

AI人工智慧相關職缺

Within two months

machine learning

Deep Learning

Computer Vision

Taiwan

Full-time / Interested in working remotely

6-10 years

私立真理大學(台灣)

・

資訊管理

Upgrade to View

Offline

陶俊良

Senior Data Analyst @Gamania 遊戲橘子數位科技股份有限公司

・

2024 ~ Present

Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst

Within one month

commany user info to maximize the benefits of data. Let Data help life better! Work experience Senior Data Analyst Gamania 遊戲橘子數位科技股份有限公司 • 六月Present Main Responsibilities: Re-Planning the new app recommend system Integrating the company data pipeline Through analyzing the user behavior, optimizing the app function and establishing new functions Helping customer service staff communicate with a big data team to optimize their jobs Researching new AI project like detecting game cheaters Designing new app function experiment Project details: Optimizing the app Planning a new

python

MySQL

Taiwan

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

Anas Sayeed

Lead DBA / DBA Manager @Deel

・

2023 ~ Present

Lead DBA, DBA Manager, Database Architect, Director Of Data Services, Data Architect

Within two months

Anas Sayeed Lead DBA | Database SRE | Database Architect (Database & Big Data Platforms) | Taiwan APRC Holder (Permanent Residency) Mobile:Email: [email protected] Taipei City, Taiwan PROFESSIONAL SUMMARY Seasoned Database & Data Specialist with expertise in MySQL, PostgreSQL, and MongoDB, managing large-scale database ecosystems in mission-critical environments. Cloud Database Specialist , proficient in AWS RDS, Aurora, Redshift, Google Cloud RDS, and BigQuery, delivering scalable and secure cloud database solutions. Data Architect , skilled in designing and optimizing data warehousing solutions for high-volume, data-driven applications. Database CI/CD Expert , automating database deployments, version control, and

Database Administration

System Architecture

MySQL / Mariadb

Taiwan

Full-time / Interested in working remotely

Institute of Engineering & Technology -Lucknow,India

・

Computer Science

Chih-Hsuan Wei

Senior Software Engineer @Azurewave Technology

・

2023 ~ Present

Senior Software Engineer

Within one month

api. Responsible for RTK and Qualcomm IC solution. IEEEa/b/g/n/ac/ax/be, Wifi, BT, testing stardard. TeamCity auto build code and maintain auto test. Testing software introduction and yield rate inhance in Shanghai factory. Work with big data team to analyze calibration index distribution to reduce test time. Experienced with RF test equipment and tools(e.g., LitePoint series instrument : M16X, MW7G, M8/ iTest series: WT428/ E4416A Power Meter) Network performance testing tools (iperf3) Skills C/C++, Git

C++

Wireless Technologies

Taiwan

Full-time / Interested in working remotely

4-6 years

National Yunlin University of Science and Technology (YunTech)

・

Mechanical Engineering/Mechatronics and System Control

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Within two months

陶俊良

Supervisor Machine Learning Engineer

Gamania 遊戲橘子數位科技股份有限公司

・

2024 ~ Present

Taipei, 台灣

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

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

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, LLM 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 help life better!

Work experience

Senior Data Analyst

Gamania 遊戲橘子數位科技股份有限公司 • 六月 2024 - Present

Main Responsibilities:
- Re-Planning the new app recommend system
- Integrating the company data pipeline
- Through analyzing the user behavior, optimizing the app function and establishing new functions
- Helping customer service staff communicate with a big data team to optimize their jobs
- Researching new AI project like detecting game cheaters
- Designing new app function experiment
Project details:
1. Optimizing the app
  1. Planning a new function pipeline on the app and using a recommendation system model and tag system.
  2. Routinely reviewing the old function and updating the function version with the tracking data
2. Planing the data integration of the different departments
  1. Planning the data ETL
  2. Establishing the dashboard and machine learning model
  3. Drawing up a new function api format
3. Analyzing and experimenting with the gamer behavior in the app
  1. Rising the user game and app engagement through the encouragement and rewards from app.
  2. Exploring the users' interests and designing them as routine activities or new functions.
  3. classificating customer to different levels and design the levels function to maintaining the high-level customer behavior.

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 players of illegal behavior, forcing them to disappear from the game and improving 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

Spiral AI Lending Bot

Project Goal: Using AI to calculate the best lending rates and auto set a USD lending order for user in Bitfinex
- Main Responsibilities:
  - Training the a AI model to decide the rate which would be set in lending order by periods.
  - Data pipeline
  - Social and landing page
- Current Results:
  - The lending rate spread for lower-tier members is 1-3% higher than that of competitors.
Future Vision:
- More custom functions like period
- iterative model parameter

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

Cloud Platform

Command Bot

Slack Bot
Discord Bot

Dashboard & Event tracking

Dune Dashboard
Looker Studio
Amplitude

Resume

Profile

陶俊良

(Tao,Chun-Liang)

Taipei, Taiwan

Email: [email protected]

Phone: 0910785016

Let Data help life better!

Work experience

Senior Data Analyst

Gamania 遊戲橘子數位科技股份有限公司 • 六月 2024 - Present

Main Responsibilities:
- Re-Planning the new app recommend system
- Integrating the company data pipeline
- Through analyzing the user behavior, optimizing the app function and establishing new functions
- Helping customer service staff communicate with a big data team to optimize their jobs
- Researching new AI project like detecting game cheaters
- Designing new app function experiment
Project details:
1. Optimizing the app
  1. Planning a new function pipeline on the app and using a recommendation system model and tag system.
  2. Routinely reviewing the old function and updating the function version with the tracking data
2. Planing the data integration of the different departments
  1. Planning the data ETL
  2. Establishing the dashboard and machine learning model
  3. Drawing up a new function api format
3. Analyzing and experimenting with the gamer behavior in the app
  1. Rising the user game and app engagement through the encouragement and rewards from app.
  2. Exploring the users' interests and designing them as routine activities or new functions.
  3. classificating customer to different levels and design the levels function to maintaining the high-level customer behavior.

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 players of illegal behavior, forcing them to disappear from the game and improving 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

Spiral AI Lending Bot

Project Goal: Using AI to calculate the best lending rates and auto set a USD lending order for user in Bitfinex
- Main Responsibilities:
  - Training the a AI model to decide the rate which would be set in lending order by periods.
  - Data pipeline
  - Social and landing page
- Current Results:
  - The lending rate spread for lower-tier members is 1-3% higher than that of competitors.
Future Vision:
- More custom functions like period
- iterative model parameter

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