Tran Xuan Long Nguyen

is available. ✅

Angestellt, IT-Officer, EAT HAPPY DEUTSCHLAND
Hamburg, Germany

Fähigkeiten und Kenntnisse

Excel
Word
Team work
Database
SQL
R programming language
Python
Java
Big Data
Data Analysis
Data Management
English Language
MS Office
PowerPoint
Tableau
Big Data Analytics
KNIME

Werdegang

Berufserfahrung von Tran Xuan Long Nguyen

  • Current 7 months, since Dec 2025

    IT-Officer

    EAT HAPPY DEUTSCHLAND
  • 1 year and 11 months, Jan 2024 - Nov 2025

    Data Analyst

    EAT HAPPY DEUTSCHLAND

    - Establish, design and control weekly, monthly, and annual performance and financial resports - Manage dynamics dashboards with generated compatible calculation - Create, optimize and manage the small to medium databases - Control ETL pipelines - Involve multiple projects about business operation optimization, AI integration, workflow development with non-/programming orientation - Develop the AI applications for operation purposes

  • 1 year and 7 months, Jun 2022 - Dec 2023

    Project Self-Analyst

    self-employer

    Self Project Focus on Exploratory Analysis and Predictive Analysis to drive the data-driven decision with high accuracy and effective strategy. Previous projects: Divvy Trip Data Analysis: - Process and visualize data to explore the differences between the casual customers and annual subscriber to generate the ideal marketing campaign Insurance Car Fraud Detector with KNIME: - Examine and build the fitable predictive model in KNIME application to predict Fraud insurance cases with 95% accuracy

Ausbildung von Tran Xuan Long Nguyen

  • 5 years and 1 month, Oct 2020 - Oct 2025

    Business Administration with Informatics

    South Westphalia University of Applied Sciences

    Secialization: Businness automation and operation optimization Thesis: Automated Sushi Quality and Attractiveness Grading: Obejct Segmentation with Yolov8 - A Case Study of EatHappy GmbH

  • 1 year, Aug 2018 - Jul 2019

    Computer Engineering

    Ho Chi Minh City University of Technology

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