CakeResume Talent Search

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4-6 years
6-10 years
10-15 years
More than 15 years
Avatar of Bess.
Avatar of Bess.
Past
Marketing Associate @Shopback Inc.
2023 ~ 2024
Digital Marketing
Within two months
陳欽姿 Bess 行銷副理 Bess = Best+s-t Bess is the Best, double Success without Tediousness. 主修商科 👉飯店管理 👉活動執行👉出國留學👉行銷企劃👉領導管理 👉數位行銷 10年活動執行 策劃並執行 線上+線下 不同 規模的活動,成功提升品牌知名度和產品銷售量。 7年行銷企劃
Microsoft Office
Metabase
Amplitude
Unemployed
Ready to interview
Full-time / Remote Only
6-10 years
Sprott-Shaw College
Business management diploma
Avatar of 邱義塵.
Avatar of 邱義塵.
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 Engineer、Data Scientist
Within one month
Redis/Tableau/Neo4J/Flask - 利用Python爬取大陸論壇的人物照片擷取可用5000張圖片進行推薦 - 使用Selenium進行上萬張NSFW圖片的分類辨識 - 從Amplitude和MongoDB提取使用者資料,進行DAU/MAU等BA和DA分析,使用Tableau和Python製作Dashboard呈現結果 - 優化交友推薦系統並開發使用新的推薦
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
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
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 set company and growth team short-term indicators and conducting demos with Looker Studio for easy operation Segmenting and analyzing user data to maximize marketing benefits for valuable users and facilitate customer service personnel in managing VVIP customers, similar
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 張紘銘.
Avatar of 張紘銘.
Android Developer @上恩資訊股份有限公司 (媽咪愛)
2021 ~ Present
Android engineer
Within one month
開發環境 應用平台:Android 程式語言:Kotlin、Java 非同步:Coroutines、RxJava 依賴注入:Dagger、Koin 網路應用:OkHttp、Retrofit 圖片讀取:Glide JSON:Moshi 測試:MockK、Kotest、 Robolectric 工具 數據觀測:Amplitude、Google Analytics 專案管理:Asana 設計方針:Material Design 工作經歷 上恩資訊股份有限公司, Android Developer, Apr 2021 ~ Now APP team leader,主要負責媽咪愛 Android APP 開發與維護
Java
Kotlin
Android
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立臺北商業大學 National Taipei University of Business
資訊管理
Avatar of LIAO WEI CHI.
Avatar of LIAO WEI CHI.
Sr. Technical Product Manager @FunNow 曙客股份有限公司
2022 ~ Present
專案經理、產品經理、系統分析師
Within one month
product launched, and then reached 104% at the end of year. • Redesigned intuitive order flow, unified payment across services and platform, and developed referral function that boosted online booking rate from 22% to 55%. • Introduced data-driven approaches to the company with modern analytical tools, such as Tableau, Amplitude, and GA. • Simplified and unified payment systems that serve Apps / Webs / retail stores’ systems across 3 companies of the CARPLUS corporation. 產品管理主管 • AsiaYo 三月七月 2020 ⌬ Conducted systematic analysis and data analysis for product enhancement and assisted
Java
Tableau
PHP
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
University of Southampton
Operational Research and Finance
Avatar of the user.
Avatar of the user.
前端工程師 @松崗數位文創股份有限公司
2022 ~ Present
前端工程師
Within two months
html + css + javascript
git
Ruby on Rails
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
龍華科技大學
多媒體及遊戲發展科學系
Avatar of the user.
Avatar of the user.
Head of PM @Influenxio 圈圈科技有限公司
2021 ~ 2023
Senior Product Manager, Product Director
Within one month
Scrum
Product Management
Amplitude
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立清華大學 National Tsing Hua University
人因工程
Avatar of the user.
Avatar of the user.
Data Engineer @美好金融
2022 ~ 2023
軟體工程師
Within two months
Java
Python
MongoDB
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立中央大學
物理
Avatar of Imantoko.
Avatar of Imantoko.
Android Developer @Otoklix
2021 ~ Present
Android Developer
Within one month
using Golang. Android Developer • Otoklix NovemberMarch 2023 Develop new features, maintain code, debug, trace, and bugs fixing in both customer and workshop apps. Develop car inspection feature on Workshop App. Optimize workshop app behavior by remove redundant function calls. Integrate tracker and analytics tools such as Amplitude, Smartlook, Sentry, and Firebase. Implement clean architecture and design patterns to improve maintainability and scalability of applications . Assist DevOps to enable CI/CD on development, staging, and production environment. Collaborating with cross-functional teams, including product management and design, to deliver high-quality mobile applications
Kotlin
Java
ReactNative
Full-time / Interested in working remotely
4-6 years
Universitas Teknologi Yogyakarta
Bachelor's degree , Computer Science
Avatar of 陳奕仲.
Avatar of 陳奕仲.
Senior Engineer。 @昕力資訊股份有限公司
2022 ~ Present
Senior Android Developer
Within one month
料,節省建立、觀看、查詢會員資料的時間,大大提升其便利性。 技能 Programming Languages Java、Kotlin Tools SDK、API Facebook Login、Google+ Login、Google Map、Youtube、Google Analytics、Flurry Analytics、Firebase、Allinpay、Bugly Crashlytics、Leanback、Amplitude、Appsflyer Android Library Gson、Jackson、Fresco、Picasso、Glide、GreenDAO、DiskLruCache、Jsoup、Realm、Zxing、Hyperverge、FIDO、Shimmer、Recaptcha、LibPhoneNumber、android-pdf-viewer、 DI Hilt Test Junit、Espresso、Robolectric、Mockk HTTP Client Volley、Retrofit2、Ktor 工作經歷 台灣新蛋股份有限公司(Newegg Inc
Android app Developer
Java
Firebase
Employed
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
勤益科技大學
資訊工程

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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