Eunju Park

Bis 2024, Data Scientist, IAV - Automotive Engineering

Bis 2022, Data Analytics, Universität Hildesheim

Braunschweig, Deutschland

Über mich

Experienced with all stages of SW development cycle for operating systems. Specializing in continuous software delivery. Provide quality data and data analysis.

Fähigkeiten und Kenntnisse

Database
Data Science
Data Management
Data Modelling
Data Analysis
Big Data
Python
Java
SQL
NoSQL
Ontology
SPARQL
Deep Learning
Machine Learning

Werdegang

Berufserfahrung von Eunju Park

  • 1 Jahr und 5 Monate, Nov. 2022 - März 2024

    Data Scientist

    IAV - Automotive Engineering

  • 1 Jahr und 4 Monate, Juli 2021 - Okt. 2022

    Data Scientist

    Fraunhofer Institute for Building Physics IBP

    • Development and implementation of technical concepts of digital twins for buildings • Further development of mobile App and Car-bridge system for In-Car comfort feedback system • Analysis and modelling by the means of digital twins and structured/unstructured data • Collaborative SW development (Python, Java, JavaScript, SQL)

  • 4 Jahre und 2 Monate, März 2014 - Apr. 2018

    IT & BI Specialist

    Korea Atomic Energy Research Institute

    •Hands-on experience with main focus in data pipelines and analysis •Designing and maintaining Data Warehouse as well as managing resources •Keeping data clean and accurate as well as providing clean solutions •Working with the management team to create valuable solutions •Project: Upgrade Information Systems (03/2016-10/2017) as a leader

  • 2 Jahre und 4 Monate, Jan. 2011 - Apr. 2013

    BI Project Management Assistant

    Hyundai Motors

    •Manage daily data submission and error resolution •Weekly usage reports for current tools to make suggestions •Responsible for researching data requirements and metadata

Ausbildung von Eunju Park

  • 3 Jahre und 6 Monate, Apr. 2019 - Sep. 2022

    Data Analytics

    Universität Hildesheim

    • Thesis: Multivariate Time Series Classification with Spatio-Temporal Graph Convolutional Networks for User Behaviors Prediction • Project: Large scale text classification with stochastic TextGCN • Key module: Machine Learning, Big Data, Graph Analytics, NLP

  • 4 Jahre, März 2007 - Feb. 2011

    Industrial & Information Systems Eng.

    Soongsil University

    • 2nd Class Honor • Award: (AI) A wall of reading user's mind • Key module: Database, Network, AI, SW Eng., OR, Business Web

Sprachen

  • Englisch

    Fließend

  • Koreanisch

    Muttersprache

  • Deutsch

    Gut

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