Summary

I’m graduated from Feng Chia University, Department of Statistics. During the period, I have developed data mining skills to do data analysis and prediction with R. 

Work History

Work History
Jul 2014 - Feb 2016

Data Analyst

Cheetah Mobile
  • Job responsibilities:
  1. Users feedback data analysis and system establishment
    - Using text mining skill to analyze user feedback and it can filter almost 90 percent noise data. 
  2. Data analysis with projects
    - Data analysis with product manager’s requirement
  3. Development program automation
    - Analysis report automation
  4. Automation reply system
    - Auto reply to user feedback on google play platform
  5. Web crawling
    - Development web spider program case by case
  6. Research spark application with sparkR
  7. Data visualization for user's feedback analysis
    - Establishing the interactive visualization web that explores the data use shiny server.
  8. Dashboard
    - Establishing dashboard use shiny server.
  • Projects experience:
  1. Users feedback system
  2. Privacy url clean function
  3. User evaluation function
  4. Free WIFI detection function
  5. Big data analysis using Hive and RHadoop 
Jul 2013 - Apr 2014

RMA(Return Merchandise Authorization) Quality Analyst

GIGA-BYTE TECHNOLOGY CO., LTD.
  • Job responsibilities:
  1. RMA data analysis
  2. Components preparing and prediction
  3. VGA mining performance testing
  4. Examination and expense analysis
  5. To deal with all of issues with sales and customers
  • Projects experience:
  1. Components preparing and prediction model building
  2. planning processing of GPU repair and sales return
  3. VGA mining testing and analysis 4.Yield rate analysis with factories

Education

Education
2009 - 2011

Department of Statistics, Master's degree 

Feng Chia University
2004 - 2009

Department of Statistics, Bachelor's degree

Ming Chuan University

Certifications

Certifications
Apr 2014 - Present

R軟體與資料探勘

INSTITUTE FOR INFORMATION INDUSTRY

採用R語言做為資料探勘的工具與提升R語言在資料探勘的程式撰寫能力

1.商業問題與資料探勘任務集 (Business Problems and Data Mining Tasks Set)
2.維度縮減與主成分分析 (Dimensionality Reduction and Principal Component Analysis)
3.集群分析 (Clustering Analysis)
4.關聯規則探勘 (Association Rule Mining)
5.樹狀模型–分類樹、迴歸樹與模型樹 (Tree-Based Models)
6.k近鄰法 (k Nearest Neighbors)
7.貝式分類(含文字資料處理) (Bayesian Classification)
8.鏈結分析與預測(Link Analysis and Prediction)
9.支援向量機(Support Vector Machines)
10.拔靴集成、多模激發法與隨機森林(Bagging and Boosting)

Sep 2014 - Present

Python資料探勘實作

INSTITUTE FOR INFORMATION INDUSTRY

採用Python語言做為資料探勘工具,提升學員運用統計與機器學習手法於企業資料處理與分析的實作應用能力。

Mar 2015 - Present

巨量資料分析-使用RHadoop

INSTITUTE FOR INFORMATION INDUSTRY

將學習如何使用RHadoop架構資料分析平台等關鍵技術:包含學習到該如何使用R進行資料探索與分析、如何透過Hadoop Eco System 建立分析應用流程,及學習如何使用RHadoop實際建構分析與應用平台。

Skills

Skills

R

Data Mining

Machine Learning

Data Analysis

MySQL

Microsoft Excel

Apache Spark

MongoDB

Hive

Data Vaisualiztion

Python

Research experience

  • Predicting NBA games
  1. using Decision Tree
  2. using Adaboost
  3. using support vector machine
  4. using Neural Networks
  5. using RandomForest
  • Predicting MLB games
  1. using game odds to prediction game