About

Alexander is a data scientist with expertise in natural language processing, causal inference, and business analytics. His focus lies in building robust machine learning systems that can adapt to real-world challenges like distribution shifts and concept drift.

With an international, interdisciplinary background, Alexander thrives in diverse data science teams where effective cross-domain collaboration is essential.

He is passionate about privacy and responsible AI development, and contributes to several open-source projects — some of which are listed below.

Work & Focus Areas

Alexander’s work spans three main domains:

• Natural Language Processing — developing text analytics and large language model pipelines.
• Causal & Predictive Analytics — uncovering cause-effect relationships for actionable business insights.
• Reliable Machine Learning Systems — creating scalable, maintainable, and fair ML applications.

He is currently open for freelance or collaborative work opportunities.

Open Source & Professional Links

• GitHub — Contributions to open-source data science and ML projects.
• Upwork — Freelance data science and AI consulting.
• LinkedIn — Professional profile and contact information.

Some examples of my work: Sales Analysis