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Past
Data Engineer @Rooit Inc. (XO App)
2023 ~ 2023
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning EngineerData Scientist
Within one month
Python
Data Analysis
Data Science
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
臨床醫學研究所
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Avatar of the user.
Data Engineer @TSMC 台積電
2022 ~ Present
資料分析師、演算法工程師、軟體工程師、軟體專案管理
Within one month
Backend Development
NLP
Python
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中央大學 National Central University
網路學習科技研究所
Avatar of Vel Tien-Yun Wu.
Avatar of Vel Tien-Yun Wu.
Data Engineer @Groundhog Technologies Inc.
2021 ~ 2024
Data Analyst、Data EngineerData Scientist、Customer Experience Analyst
Within one month
my work within multidisciplinary teams, ensuring clear and effective communication. Seeking a role as a Data Engineer or Data Analyst, I am eager to apply my technical expertise and analytical skills to contribute to meaningful projects and collaborate with a dynamic team. New Taipei City, Taiwan Work Experience Data Engineer • Groundhog Technologies Inc. JulyPresent - Built and maintained data piplines (through which several hundred millions rows of data flow through daily) using Scala Spark/ Hadoop - Managed cron jobs and performed regular data recovery using Apache Airflow - Performed regular Extract, transform, load (ETL) operations through Hive and HDFS
Git
Python
Scala
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
University of Illinois at Urbana-Champaign, School of Information Sciences
Information Management
Avatar of 李孟霖.
Avatar of 李孟霖.
資深資料工程師 @緯創資通股份有限公司
2020 ~ Present
Data Analyst、Data EngineerData Scientist、Customer Experience Analyst、Solution Architect、Cloud Architect
Within one month
李孟霖 數位轉型,進行行政作業流程優化、協助企業快速掌握數據價值。 ● 最新經歷:緯創資通股份有限公司 人力資源數位轉型 資深數據分析師 ● 經歷:財團法人中衛發展中心 資料分析師顧問 ● 證書:Wistron Data Engineer證書;PJ法L1證書 年資:4 年 10 個月 職
python
PowerBI
Power Platform
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
工業工程與管理學所
Avatar of 林冠安.
Avatar of 林冠安.
Past
Data Analyst @趨勢科技 TrendMicro
2021 ~ 2024
Data Analyst、Data EngineerData Scientist、Customer Experience Analyst
Within one month
執行成效。 3. 流程及報表開發 與PM或Sales operations討論報表需求,以stored procedure開發計算邏輯,並建立相關view以利Tableau報表開發。 作為user與data engineer之間的溝通管通,統合需求後開發符合user之報表或資料。 依照過去資料驗證經驗,以stored procedure開發各項指標之DQ邏輯,以避
R
PL/SQL
Python
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
天主教輔仁大學 FU JEN CATHOLIC UNIVERSITY
金融所
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 EngineerData Scientist、Customer Experience Analyst
Within one month
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 (app, sdk js) Amplitude event tracking to maximize data collection Using existing data to
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 Justin Liu.
Avatar of Justin Liu.
Manager @GOMAJI 夠麻吉
2017 ~ Present
Project Lead / Tech Lead / Team Lead / Technical Manager
Within one month
Justin Liu GOMAJI 夠麻吉 經理 A technical leader with extensive IT management experience, skilled in driving technological innovation, optimizing development processes, and leading cross-functional teams to achieve business objectives. In my previous roles, I successfully led a team of 10, including web developers, App developers, DevOps, data engineers, and API developers, to accomplish several key projects. I have a profound understanding and practical experience in technical architecture, cloud architect solutions(GCP and AWS), CI/CD and Docker, and data analytics, and committed to enhancing team efficiency and product quality. 具有豐
Team Lead
Management Team
Cloud Architecture
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
Shih Hsin University
Management Information Systems, General
Avatar of Vu Nguyen Ngoc Quang.
Avatar of Vu Nguyen Ngoc Quang.
Past
Mobile App Developer @Apple Inc.
2014 ~ Present
Lead Infrastructure Engineer
Within two months
for performance and scalability. Developed databases that supported Web applications and Web sites. Developed system interaction and sequence diagrams. Big Data Engineer • Freelancer JuneJuly 2023 Built machine learning models using TensorFlow and Scikit-Learn libraries for predictive analysis of customer behavior. Designed and implemented a scalable data warehouse architecture using Apache Cassandra, PostgresDB, and Redis. Optimized database performance by tuning queries in SQL Server, Oracle and PostgreSQL databases. Implemented efficient data processing algorithms on large datasets with Apache Spark, MapReduce, and Pandas Python. Created dashboards in Tableau Desktop Professional Edition to visualize complex
Machine learning
Virtualization Technologies
Pandas Python
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Avatar of the user.
Avatar of the user.
Corporate Strategy Project Director @17LIVE Inc.
2023 ~ Present
Business Strategiest
Within one month
Excel
Project Management
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Chengchi University
Communication, General
Avatar of moh yanni fikri.
Avatar of moh yanni fikri.
Past
Electrical Maintenance @PT. Pabrik Kertas Tjiwi Kimia Tbk.
2021 ~ 2023
Engineer
Within one month
in preparation for when there is a tool has problem or automation project Education Politeknik Perkapalan Negeri Surabaya Automation Engineering,GPASkill Preventive Maintenance ( Preparing weekly, monthly summary, and exception reports ) AC / DC Drive Wiring Diagram ( AUTOCAD, EPLAN P8 Electrical ) PLC and HMI Programming SCADA, Power Inverter Project and People Management Electrical Troubleshooting Computerized Maintenance Management Systems (CMMS) Data Analysis and Visualization Machine Learning Certification Data Science and Machine Learning - Purwadhika Digital Technology SchoolPurwadhikaSystem 800xA with AC 800M Hardware Maintenance and Troubleshooting - ABBInstrument Inspector level 2 - Inspector TrainingInstrument Inspector level 1 - Inspector TrainingPLC Intermediate Engineer - PPNSIndustrial Automation System Design - BNSP
Data Science
Python
Machine Learning
Unemployed
Ready to interview
Full-time / Not interested in working remotely
4-6 years
Politeknik Perkapalan Negeri Surabaya
Automation Engineering

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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