Mark Sandal

Angestellt, Data Scientist, SIXT SE

Munich, Deutschland

Fähigkeiten und Kenntnisse

Python
SQL
Data Science
Machine Learning
Computer Vision
Artificial intelligence
Git
Deep learning
Docker
Natural Language Processing
Statistics
Neural Networks
Data visualisation
Python pandas
Data Analysis
AWS
Forecasting
Pytorch Forecasting
Pytorch Geometric
ETL
Computer Science
ML
PyTorch
NumPy

Werdegang

Berufserfahrung von Mark Sandal

  • Bis heute 1 Jahr und 6 Monate, seit Jan. 2023

    Data Scientist

    SIXT SE

    - Contributed heavily to the forecasting solution for long-term fleet planning - Initiative, pitching and development of a deep learning forecasting framework for global time series modelling, enabling the team to handle large-scale projects previously deemed unapproachable. - Actively participated in fostering a data science culture within the team and company, advocating for best practices in both development and management.

  • 1 Jahr und 2 Monate, Nov. 2021 - Dez. 2022

    Data Scientist

    Stylight

    • Implemented from scratch a client churn model that produced actionable quantitative insights and enabled a targeted approach towards client retention • Created a replacement budget regulation system based on time series predictive analysis, allowing for more transparent and effective budget management for client shops • Currently working on the product tagging project through joint usage of Computer Vision and Natural Language Processing Deep Learning models.

  • 1 Jahr, Nov. 2020 - Okt. 2021

    Data Scientist, research

    Mercateo Services GmbH & Co. KG

    Research in Graph Deep Learning. Elaborated a novel unsupervised loss term that allowed to improve the co-clustering results on common benchmark datasets

Sprachen

  • Englisch

    Muttersprache

  • Deutsch

    Fließend

  • Französisch

    Fließend

  • Russisch

    Muttersprache

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