Kened Kqiraj

Based in Zug, Switzerland • Open to full-time roles in Data Science & AI Engineering

Data Scientist (MSc, Applied Information & Data Science)

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Projects

Experience

Data Science Intern — Swiss International Air Lines (Mar 2026 – Present)
  • Automating data pipelines using optimized Python solutions to streamline operational analytics.
  • Leveraging Microsoft Azure (Data Factory, Blob Storage) for scalable data processing and deployment.
  • Developing workflow automations with Power Automate to enhance operational and administrative efficiency.
  • Analyzing Lufthansa Group (LHG) ground operations data to generate actionable insights.
  • Collaborating with business and operational stakeholders to identify and refine data requirements.
  • Supporting the development of dashboards and data visualizations for performance monitoring.
  • Performing data quality checks during Azure migration processes to ensure data integrity and consistency.
Operations Specialist / AI Engineer — The Brain Maze LLC (Jul 2019 – Mar 2026)
  • Building and orchestrating a multi-stage AI automation pipeline leveraging LLMs for script generation, text-to-speech synthesis, and AI image creation within a scalable production workflow.
  • Designing and automating an end-to-end generative AI content pipeline using LLMs, integrating script generation, AI voiceovers, and image asset creation into a unified workflow.
  • Automating the full content production lifecycle using Large Language Models (LLMs), from script writing to voiceovers and AI-generated visuals, reducing manual production effort and increasing scalability.
  • Improved reporting workflows to enhance transparency and commercial visibility.
Internship — On AG (Feb 2025 – Jan 2026)
  • Product Owner for a cloud-based trade compliance and legal automation initiative, translating regulatory and stakeholder requirements into AI-supported workflows for preferential origin and FTA rule determination.
  • Automated extraction and interpretation of Free Trade Agreement (FTA) rules using NLP and large language models to support compliance decision-making.
  • Designed and maintained regulatory data pipelines (ETL) for ingestion, transformation, and reporting of structured and unstructured legal data using Python, SQL, and cloud-native services.
  • Acted as an interface between legal experts, business stakeholders, and technical teams, ensuring adoption of AI-assisted tools in regulated processes.

Education

  • Master of Science in Applied Information and Data Science — Lucerne University of Applied Sciences and Arts (HSLU)
  • Bachelor of Accounting — University of Prishtina (2016)

Further Training

Skills

Python R SQL PyTorch n8n Azure Databricks Tableau Streamlit Google Cloud Git GitHub LangChain Data Pipelines Vertex AI

Contact

Switzerland • Phone: +41 76 567 29 85. Email: . Connect on LinkedIn or view my GitHub.

GitHub Email
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