Avatar of JHANG NENG, LIN.
JHANG NENG, LIN
Data Scientist
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JHANG NENG, LIN

Data Scientist
- Dedicated data engineering, database management, NLP with 2+ Years of Experience specializing in manufacturing industry - Well-versed in repair data, finding solutions to match user demand and achieving 1.45% increase of repair accuracy rate within a month. - Proficient in data processing and analysis skills, and responsible for communicating with coworkers and supervisors Summary: - Programing Language: Python, SQL, Cypher, C, JavaScript - DataBase: MySQL, Neo4j, MongoDB - Tool: Git, Docker, Restful API, Streamlit, Nifi, Numpy, Pandas
Compal
National Cheng Kung University
台北市, 台灣
台湾

专业背景

  • 目前状态
    待业中
  • 专业
    分析师
    数据工程师
    数据科学家
  • 产业
    制造
  • 工作年资
    2 到 4 年 (2 到 4 年相关工作经验)
  • 管理经历
  • 技能
    Python
    SQL/MySQL
    Neo4j
  • 语言能力
    English
    进阶
    Chinese
    母语或双语
  • 最高学历

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 Scientist/Date Engineer/Product Cost Analyst
  • 期望的工作地点
  • 接案服务

工作经验

Data Scientist

2021年12月 - 现在
1. Project: MB-Repair-Recommend-System - Developed end-to-end algorithms, utilizing Natural Language Processing (NLP) techniques to address multi-classification problems. - Constructed a knowledge graph for motherboard component data and developed a pathfinding algorithm to identify the optimal repair SOP. - Proposed an AI-based system, simplifying the repair process and achieving 1.45% improvement in repair accuracy within a month. - Skill&Tools: NLP, embedding similarity, Multiclassification, Knowledge Graph, Path searching 2. Project: MB Repair quality analysis - Proficient in data processing, data pipline, data analysis for driving meaningful insight. - Build interactive Dashboard reports using Streamlit for intuitive data visualization and presentation. - Skill&Tools: data engineering, data pipline, Multi-dimensional Statistic analysis, Quality Monitoring Dashboard

Research Project - Adjunct assistant

2019年9月 - 2021年8月
2 年 0 个月
Project: "Analyzing Driving Risk by Using Deep Learning Methods and Designing UBI service Platform" "Analysis of Driving Safety and Driving Behavior based on Big Data" - Design a solution to adress the dilemma of Usage-based Insurance service - Skill&Tools: Machine learning, Deep learning, python, MySQL

学历

硕士学位
Transportation and Communication Management
2019 - 2021
活动和社团
Project: - Analyzing Driving Risk by Using Deep Learning Methods and Designing UBI service Platform - Analysis of Driving Safety and Driving Behavior based on Big Data
简介
- Concentration: Transportation Technology, Transportation Safety, Machine Learning, Deep learning, DBMS - Master’s Thesis: Analyzing Motorcyclist's Risk-aware Fingerprint for Usage-based Insurance by Using Deep Learning.
学士学位
Shipping & Transportation Management
2014 - 2018
活动和社团
Member of basketball school team

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