Lukas Moldon

Angestellt, Data Scientist, Deichmann SE
Düsseldorf, Germany

Fähigkeiten und Kenntnisse

Data Science
Python
Machine Learning
Data Mining
Deep Learning
Web Mining
Text Mining
Process Mining
Scikit-learn
PyTorch
Pandas
SciPy
Gurobi
NumPy
SQL
GitHub
Informatik
PySpark
Apache Spark
Azure DevOps
Azure Databricks
Apache Airflow

Werdegang

Berufserfahrung von Lukas Moldon

  • Current 1 year and 11 months, since Jul 2024

    Data Scientist

    Deichmann SE
  • 1 year and 3 months, Apr 2023 - Jun 2024

    Junior Data Scientist

    Deichmann SE
  • 2 years and 10 months, Jun 2020 - Mar 2023

    Student Research Assistant

    RWTH Aachen University

    Chair for Computational Social Sciences and Humanities (CSSH) - Conducting research projects with a focus on the development and application of algorithmic methods for the computational social sciences and humanities - Exemplary research project "genderBERT": Developing a deep learning model for gender classification on texts in Python - Developing Python scripts to automatically grade student home assignments - Supporting summer school SICSS-Aachen-Graz 2022 as Python tutor

  • 6 months, Oct 2019 - Mar 2020

    Student Mentor (Student Assistant)

    RWTH Aachen University

    Mentoring Informatik - Supporting and tutoring a group of 30 new Computer Science students as mentor - Organizing and leading weekly group meetings - Preparing presentations and creating study material

  • 6 months, Oct 2018 - Mar 2019

    Student Mentor (Non-Technical Elective Module)

    RWTH Aachen University

    Mentoring Informatik

Ausbildung von Lukas Moldon

  • 3 years, Apr 2020 - Mar 2023

    Computer Science (M.Sc.)

    RWTH Aachen University

    - Grade: 1.3 ("with distinction" / "mit Auszeichnung") - Focus: Data Science and Machine Learning - Applied subject: Business Administration - Master thesis (ongoing): Improving comment moderation (deep learning) models by data debiasing, in cooperation with GESIS CSS and Rheinische Post

  • 3 years and 6 months, Oct 2016 - Mar 2020

    Computer Science (B.Sc.)

    RWTH Aachen University

    - Applied subject: Business Administration - Bachelor thesis published at ICSE2021 and SE2022

Sprachen

  • German

    C2 (Verhandlungssicher / Muttersprachlich)

  • English

    C1 (Fließend)

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