Built with datascienceportfol.io

Luise Strathe

Data Scientist

Based in Berlin

About

I am passionate about finding data-centric solutions using my data science & machine learning toolset. I aim to create value and make impact by combining my business experience and analytical skills as Data Scientist.

Skills

Projects

Experience

2020 to 2021

Venture Architect

As Venture Architect at Deutsche Bahn Intrapreneurs I contributed to many innovation projects within the corporate. My role included being professional advisor and mentor for agile intrapreneurial teams but also evaluating and challenging business ideas. I was PMO and analyst for NLU agent assist development and Atlassian admin and analyst of the team.

2018 to 2019

Project Manager & Executive Assistant

At Coup I assisted the CEO and CFO in a large variety of professional matters, including business strategy and development, projects and organization & processes. Coup was an e-scooter sharing tech start-up, a venture of BCG DV and Robert Bosch GmbH.

2017 to 2018

Entrepreneur

Founder of and designer for the fashion brand ECCËNT.. - The men's underwear collection was launched December 2017 and sold in its shopware shop & e-commerce platforms | Co-founder of a B2C online shop for IKEA spare parts

2017 to 2016

Business Consultant

As Logistics and Supply Cain Consultant and project lead at 4flow I contributed to projects in Europe and the US. I analyzed and planned in projects for medium to large companies - e.g. capacity, resource and tour planning, process flows, layout and network design, audits, software requirements.

Education

2008-2013

Universität Greifswald

Business Administration - Diploma (equivalent to Masters degree) | Awarded best in year both for my pre-diploma and my diploma | Scholarship from Friedrich-Naumann-Stiftung | Specialization: Production Management, Controlling & Entrepreneurship | COO of student consultancy Capufactur

2022

Data Science Retreat

As participant in the data science bootcamp I both learned the theory and applied machine learning. This not only included all major ml architectures but also related fields such as statistics, maths, flask, sql, docker and more.