邱彥期 (James Chiou)
I am a proactive and collaborative individual with strong independent work skills. I am proficient in utilizing R, SAS, and SQL for data analysis and processing. With practical experience in model building, data cleaning, and generating statistical charts, I bring a wealth of expertise. I am also adept at cross-departmental project collaboration, encompassing requirement definition, specification confirmation, process communication, and result validation.
Work Experience
Data Analyst • 富邦產物保險股份有限公司
十月 2018 - 八月 2022
- Construct and maintain the Training Database of the intelligent text customer service robot and assist the robot to set up the Q&A logic.
- Conducted cluster analysis on a database of approximately 290,000 telemarketing customers, identifying high and low success rate lists, resulting in a 50% increase in telemarketing conversion rates.
- Independently consolidated approximately 6.5 million customer data tags and performed data cleaning from approximately 150 tables in a property insurance database.Developed customer segmentation models and created household relationship matrices.
- Utilized Robotic Process Automation (RPA) to address the issue of renewal appeal letters for epidemic insurance. Reduced daily manpower requirements from 5 hours per person to 30 minutes per person.
- Proposed operational workflow improvements and conducted effectiveness evaluations for ad-hoc data analysis requirements.
- Generated routine and ad-hoc statistical reports and performed statistical analysis.
Market Researcher • 三商美邦人壽保險股份有限公司(總公司)
九月 2017 - 四月 2018
- Sales Competition Performance Forecasting and Competition Activity Design.
- Routine and Ad-hoc Statistical Report Generation and Statistical Analysis.
Education
國立中興大學 (National Chung Hsin University, NCHU)
統計所(Institute of Statistics)
2015 - 2017
國立台中教育大學(National Taichung University of Education, NTCU)
數學教育學系(Department of Mathematics Education)
2010 - 2014
Programming Languages
- SQL/MySQL
- R
- SAS Enterprise Guide
- SAS Enterprise Miner
- Python
- Data Visualization
- Data Analysis
- RPA
Languages
- English — Basic
Skills
Database Programming
- Proficient in performing data retrieval, integration, cleansing, and other operations in Oracle and MS SQL Server environments.
Data Analysis
- Experience in conducting data analysis using R and SAS: cluster analysis, data prediction, unsupervised data modeling, model evaluation, handling imbalanced data, and more.
- Combining data analysis results with Robotic Process Automation (RPA) to send targeted marketing customer lists.
