Lukas Moldon

Angestellt, Junior Data Scientist, Deichmann SE

Düsseldorf, Deutschland

Über mich

With experience and strong interest in Data Science and Machine Learning, I am working as a Junior Data Scientist at Deichmann Digital. Previously, I finished my Computer Science master degree at RWTH Aachen University. During my studies I worked as a student research assistant at CSSH RWTH.

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

  • Bis heute 1 Jahr und 2 Monate, seit Apr. 2023

    Junior Data Scientist

    Deichmann SE
  • 2 Jahre und 10 Monate, Juni 2020 - März 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 Monate, Okt. 2019 - März 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 Monate, Okt. 2018 - März 2019

    Student Mentor (Non-Technical Elective Module)

    RWTH Aachen University

    Mentoring Informatik

Ausbildung von Lukas Moldon

  • 3 Jahre, Apr. 2020 - März 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 Jahre und 6 Monate, Okt. 2016 - März 2020

    Computer Science (B.Sc.)

    RWTH Aachen University

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

Sprachen

  • Deutsch

    Muttersprache

  • Englisch

    Fließend

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