Career Profile

Understanding what truly creates value and what my client therefore needs is my first priority. It makes me happy when I can observe how a fleshed-out and well-conceived solution is brought to life and makes a difference. I have implemented data-wrangling jobs on Foundry, Machine Learning models in plain scipy, and interactive dashboards for sales representatives in PowerBI. I enjoy working both on the nitty-gritty of PoCs, as well as the complexities of full platforms governing the entire life cycles of datasets. It’s always a team effort, which is why in the future, I would like to take more responsibility in a leadership role.

Skills & Proficiency

Python

Apache Spark

Consulting

Palantir Foundry

SQL

Git

SciPy & Pandas

Atlassian Stack

Team Leadership

Cloud (Azure, GCP)

PowerPoint

PowerBI

PyTorch

Java

Web Development

Experiences

Data Engineer (IT Consulting)

Jan 2023 - Present
Unit8 SA, Zurich
  • Further develop the governance around the Foundry instance of a large Swiss reinsurance company.
  • Establish a Foundry platform for data from several ESG data providers, distributed internally, for a large Swiss bank. Implement a pipeline for resolving the company IDs across several data providers, creating a unique ESG Company ID, and matching them with internal IDs of our client (aka “Entity Resolution”).

Tools: Palantir Foundry, PySpark, Atlassian

Research Internship

Jul - Dec 2022
Computational Neuroscience Lab, University Bern, Bern

Investigate the mathematics of and experiment with a new kind of biologically-plausible neural networks, enabling memory-requiring tasks. I conducted multiple ML experiments with custom Neural Networks.
Tools: Python, Numpy, PyTorch, neptune.ai

External Collaborator

Nov 2021 - Jun 2022
BCN-AIM at University Barcelona, remote (Düsseldorf)

Improve the classification performance of CNNs and Transformers on 128x128px mammography images with GAN-generated synthetic data. This lead to a joint publication at the IWBI2022 conference (see below). → See the code.
Tools: PyTorch, Git

Analytics Professional

Jan 2020 - Sep 2021
Deloitte, Düsseldorf

I rotated through all five business-units of Deloitte via the Analytics Journey, a traineeship program, and worked on the following projects:

  • Develop an AI solution for the automatic extraction of hardcopy tax notices and an innovative administration tool for the internal post office (Python, Abbyy, ASP.NET, Angular)
  • Implement and present a regression system to predict sales ratios for a manufacturer of nicotine products to improve their distribution channels (Python data science stack (SciPy etc.), PowerBI, PowerPoint)
  • Develop an interactive dashboard for a consumer goods firm enhancing sales negotiations with retailers in the German market (PowerBI, MS SQL)
  • Advice on establishing a Center of Excellence for Process and Task Mining in a large German industrial manufacturing company (Celonis, PowerPoint)

Internship in IT Consulting

Apr - Jun 2018
Senacor Technologies AG, Munich

Advise program control on setting up and running global IT-systems to enable a smooth customer-ecosystem for a large German car maker.
Tools: PowerPoint, Confluence

University Project Studies

Jun - Aug 2016
Accenture Services GmbH, Munich

Develop a web-based system automating the process of organigram creation for one of Accenture’s key-accounts.
Tools: Microsoft SharePoint, VBA, PowerShell, JavaScript, Java

Student Employee as Mobile-App Developer

Sep 2013 - Jul 2014
Weptun GmbH, Munich

After studying Java in school, this was my first occupation to earn money with coding. I improved my skills with the client-server-architecture, learned how to collaborate, and experienced the whole lifecycle of a digital product. Design, implement, and test various business apps for iOS and Android.
Tools: Git, Redmine, AppConKit, JavaScript, Java

Education

MSc in Artificial Intelligence

2018 - 2019
The University of Edinburgh

Focus on Machine Learning (ML) methods, especially Computer Vision. Courses on the Mathematics of ML, computational neuroscience, and reinforcement learning.</br> Grade: 78 Distinction (1st)

  • Thesis: “Analysis of Feature Learning in CNNs on the Example of Video Recordings of Zebrafish” (implemented in Python)
  • Published at ICLR2020 conference. → See the code.

BSc in Computer Science and BSc in Business Administration

2013 - 2018
Technische Universität München

Foundational courses on databases, operating systems, logic, linear algebra, probability theory, and (optimization) algorithms. Seminars on distributed systems and cryptography.</br> Grades: 1.6 (Computer Science) and 1.8 (Business Administration)

  • Thesis: “Technical Analysis of the Tangle in the IOTA-Environment”
  • Thesis: “A Framework for Integer Programs for Relocation in One-Way Carsharing Systems”

Publications

Sharing generative models instead of private data: a simulation study on mammography patch classification
Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Diaz
16th International Workshop on Breast Imaging (IWBI2022)
Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification
Bennet Breier, Arno Onken
8th International Conference on Learning Representations (ICLR2020)

Certifications

Google Cloud Professional Cloud Architect

Oct 2020 - Oct 2022
Google (41886)

Professional Cloud Architects enable organizations to leverage Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud, they design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.</br> Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud