Nam Thanh Le

Bis 2022, Intern in Machine Learning Engineering, BASF
Düsseldorf, Germany

Fähigkeiten und Kenntnisse

Python
Numerical analysis
Applied Mathematics
Statistics
Algorithm
R
Machine learning
Linear Algebra
Calculus
Information technology
Object Oriented Programming
Programming
Big Data
Data Science
Data Structures
Unit Testing
SQL
Deep learning
AWS
Computer Vision
Data Analysis
Power BI
Git

Werdegang

Berufserfahrung von Nam Thanh Le

  • Current 5 years and 4 months, since Feb 2021

    IT Instructor

    ReDI School of Digital Integration

    Python, Basics of Computer Science, Pandas, Data Analytics, Machine Learning, Scikit learn

  • 6 months, Nov 2022 - Apr 2023

    Masterand

    CARIAD - a Volkswagen Group Company

  • 6 months, Mar 2022 - Aug 2022

    Intern in Machine Learning Engineering

    BASF

    Machine Learning, Deep Learning, Geoinformatics, Computer Vision, AWS, Machine Learning in Production, Software Development, Digital Farming

  • 6 months, Aug 2021 - Jan 2022

    Working Student

    Uniper

    Keywords: Data Analytics, Business Intelligence, Python, SQL, Power BI, Snowflake, Machine Learning, Microsoft Azure

  • 2 months, Feb 2020 - Mar 2020

    Research Assistant

    Heinrich-Heine-Universität Düsseldorf

Ausbildung von Nam Thanh Le

  • Current 5 years and 8 months, since Oct 2020

    Artificial Intelligence and Data Science

    Heinrich-Heine-Universität Düsseldorf

    • GPA: 1,00 (German scale, equivalent to 4.00/4.00) • Courses include: Machine Learning, Maths and Statistics for Data Science, Advanced Programming and Algorithms

  • 1 year, Oct 2019 - Sep 2020

    Industrial Pharmacy

    Heinrich-Heine-Universität Düsseldorf

    • GPA: 1,88 (German scale, equivalent to 3.12/4.00) • Courses included: Pharm. Development, Pharm. Manufacturing, Statistics and DoEs, Biotech, Pharmacokinetics, Intellectual Properties

  • 4 years, Oct 2015 - Sep 2019

    Materials Science and Engineering

    Kyūshū University

    • GPA: 3.95/4.00 • Specialized Courses included: Chemical Engineering, Biochem., Information Processing, Engineering Maths, Complex Analysis, Differential Equations, Engineering Ethics, Technical Communication • General Education Courses included: Cell Biology, Calculus, Linear Algebra, Mechanics, Japanese History, Japanese Culture & Society, Japanese Industries, Business Japanese

Sprachen

  • German

    A1-A2 (Grundkenntnisse)

  • Japanese

    B1-B2 (Gute Kenntnisse)

  • English

    C1 (Fließend)

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