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
Taiwan

Latar Belakang Profesional

  • Status sekarang
    Tidak bekerja
  • Profesi
    Analis
    Data Engineer
    Data Scientist
  • Bidang
    Manufaktur
  • Pengalaman Kerja
    2-4 tahun (relevan 2-4 tahun)
  • Management
  • Skil
    Python
    SQL/MySQL
    Neo4j
  • Bahasa
    English
    Fasih
    Chinese
    Bahasa ibu atau Bilingual
  • Pendidikan tertinggi

Preferensi pencarian kerja

  • Jenis pekerjaan yang diinginkan
    Full-time
    Tertarik bekerja jarak jauh
  • Jabatan pekerjaan yang diinginkan
    Data Scientist/Date Engineer/Product Cost Analyst
  • Lokasi pekerjaan yang diinginkan
  • Bekerja lepas

Pengalaman Kerja

Data Scientist

12/2021 - Sekarang
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

09/2019 - 08/2021
2 yrs 0 mos
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

Edukasi

Master (S2)
Transportation and Communication Management
2019 - 2021
Aktivitas dan komunitas
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
Deskripsi
- 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.
Sarjana (S1)
Shipping & Transportation Management
2014 - 2018
Aktivitas dan komunitas
Member of basketball school team