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Boru Chen
Data Scientist / Data Analyst
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Boru Chen

Data Scientist / Data Analyst
4+ years of experience in Data Science Enthusiastic about Causal Inference, Machine Learning, A/B Testing, Product Analysis and Statistics. I am dedicated to uncovering the narrative within data, translating complex findings into strategic insights and building models to provide data-driven decisions.
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國立台灣大學 National Taiwan University
台灣
台湾

精选履历

上传于 2024年8月7日

专业背景

  • 目前状态
    待业中
  • 专业
    数据科学家
    机器学习工程师
    Python 开发人员
  • 产业
    人工智能 / 机器学习
  • 工作年资
    小於 1 年 (小於 1 年相关工作经验)
  • 管理经历
    我有管理 1~5 人的经验
  • 技能
    statistics
    machine learning
    data analysis
    python
    SQL
    data sciense
  • 语言能力
    Chinese
    母语或双语
    English
    专业
  • 最高学历
    硕士

求职偏好

  • 目前状态
  • 预期工作模式
    全职
    对远端工作有兴趣
  • 希望获得的职位
    Data Analyst 數據分析師 / Data Scientist 資料科學家
  • 期望的工作地点
    台灣
  • 接案服务

工作经验

Customer Churn Analysis and Prediction

2024年7月 - 2024年7月
1 个月
• Conducted extensive exploratory data analysis and feature engineering to understand the impact of customer demographics, service subscriptions, and charges analysis on churn behavior. • Developed a classification model with an 86% recall (0.38 improvement over the baseline model) and recommended targeted interventions to enhance customer retention and lifetime value.

Apple Health Visualization

2024年6月 - 2024年6月
1 个月
• Conducted Apple Health data analysis and developed a dashboard to visualize events. The application, built using Python with Streamlit, offers interactive plots and insightful metrics.

Policy Learning in Manufacturing Process Parameters: A Causal Inference Perspective

2023年1月 - 2023年7月
7 个月
• Utilized machine learning models, observational data and doubly robust estimation in causal inference to estimate the effects of covariates and treatments. • Proposed a tree-based treatment assignment policy to increase rewards and a method of policy interpretation to demonstrate decision rules.

Multi-class Image Classification and Data Simulation

2022年9月 - 2023年3月
7 个月
• Developed a multi-class image classification model (EfficientNet) achieving 84.78% accuracy. The model has been deployed to production, resulting in an 80% reduction in manual classification. • Performed exploratory data analysis on anomalies and simulated defect data to augment the training dataset, which was validated by domain experts.

Remaining Useful Life (RUL) Estimation

2022年5月 - 2022年7月
3 个月
• Constructed a health indicator from vibration signals via feature engineering, hypothesis testing and PCA. • Built a statistical model (exponential degradation model) with Bayes’ theorem to estimate RUL for predictive maintenance, preventing severe failures and saving ~NT$ 1 million cost.

GNN-based Movie Recommendation System

2021年12月 - 2022年1月
2 个月
• Developed a movie recommendation system based on Graph Neural Network (GNN), singular value decomposition and k-NN to capture the relationships between movie ratings and users. • Incorporated explainable AI (LIME) to provide insights into the decision-making process.

Intern

2021年7月 - 2021年8月
2 个月
新竹市, 台灣
• Introduced an open-sourced image annotation tool to tsmc and modified corresponding authentication and authorization mechanism to meet data privacy requirements. • Partnered with API team and cloud service team to provide APIs and container-based web services.

学历

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硕士学位
資訊管理所
2021 - 2023
4.19/4.3 GPA
学士学位
資訊管理學系
2017 - 2021
4.07/4.3 GPA

资格认证

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Hahow 好學校
证照编号: 665419a5db6176f72eb12235
发照日期 2024年5月
永久有效

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