Avatar of JHANG NENG, LIN.
JHANG NENG, LIN
Data Scientist
列印
Avatar of the user.

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
台灣

專業背景

  • 目前狀態
    待業中
    正在積極求職中
  • 專業
    分析師
    數據工程師
    數據科學家
  • 產業
    製造
  • 工作年資
    2 到 4 年 (2 到 4 年相關工作經驗)
  • 管理經歷
  • 技能
    Python
    SQL/MySQL
    Neo4j
  • 語言能力
    English
    進階
    Chinese
    母語或雙語
  • 最高學歷

求職偏好

  • 預期工作模式
    全職
    對遠端工作有興趣
  • 希望獲得的職位
    Data Scientist/Date Engineer/Product Cost Analyst
  • 期望的工作地點
  • 接案服務

工作經驗

Data Scientist

2021年12月 - 現在
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 個月
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

學歷

碩士學位
Transportation and Communication Management
2019 - 2021
社團活動
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
簡介
- 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.
學士學位
Shipping & Transportation Management
2014 - 2018
社團活動
Member of basketball school team

職場能力評價