Maximilian Alber
Bereichsleiter Vertrieb Baden-Württemberg Und Prokurist at Raiffeisen Impuls Finance & Lease GmbH
Heilbronn, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolMaximilian Alber is a seasoned commercial leader with over a decade of experience in leasing and finance, currently serving as Bereichsleiter Vertrieb Baden-Württemberg und Prokurist at Raiffeisen Impuls Finance & Lease. He progressed through regional leadership roles—including head of the Heilbronn branch and northern Baden-Württemberg—demonstrating consistent growth in sales strategy, team leadership, and operational oversight. Holding a BA in Finance from Steinbeis-Hochschule-Berlin, he combines financial expertise with hands-on branch management to drive revenue and customer-focused solutions. Unusually for a finance executive, he also contributes to open-source software projects on GitHub, having helped establish the initial structure and analysis interfaces for a neural-network investigation toolbox, reflecting a curiosity for tech and data-driven decision-making. Based in Heilbronn, he balances regional market knowledge with a willingness to engage in technical collaboration that supports modern analytics and product innovation.
10 years of coding experience
Bachelor of Arts - BA, Finance, Bachelor of Arts - BA, Finance at Steinbeis-Hochschule-Berlin
Github Skills (8)
keras10
python10
test-framework9
architectures7
architecture7
api-design6
machine-learning5
tensorflow4
Programming languages (3)
Github contributions (5)
albermax/innvestigate
Dec 2017 - Jun 2022
A toolbox to iNNvestigate neural networks' predictions!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 487 commits, 22 PRs in 4 years 7 months
Contributions summary:Maximilian's primary contributions involved setting up the initial project structure and configuration files, including the `setup.py` file, as evidenced by the first commit. They updated the package name and dependencies. Furthermore, the user added a test framework and core functionalities by creating interfaces for analyzing decisions of neural networks.
pytorchdeep-learningtoolboxneural-networksmachine-learning
pikinder/nn-patterns
May 2017 - Aug 2018
Contributions:46 commits, 11 pushes, 2 comments in 1 year 2 months
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