I work with data where structure matters. With a background in IT Service Management and a growing focus on Data Science, I build projects that aim to turn complexity into clarity — and raw data into something useful.

My current work combines modeling, analysis, and automated reporting. The goal: to create solutions that are reproducible, explainable, and grounded in real-world processes.

• Structured thinking and reproducible workflows
• From relational modeling to clean, interpretable outputs
• Strong in SQL · Building in R, Power BI, Azure
• Quiet, focused and committed to long-term clarity and stability

• Data modeling & SQL
  Design and implementation of relational structures and structured multi-layered data architectures

• Analysis & visualization
  Exploratory analysis and insight generation with R (ggplot2, Quarto) and Power BI

• Reproducible workflows
  Clean documentation and traceable analysis pipelines using R and Quarto

• KPI systems & score modeling
  Development of metrics, weighted logic, and clear reporting concepts

• Applied learning & growth
  HarvardX Data Science Certificate (completed)
  Ongoing certifications: IBM Data Engineering · Microsoft Power BI & Azure
  Documented personal projects with analytical depth

🧠 animal-shelter-ml
Capstone project for edX: Using Random Forests to predict shelter outcomes based on open data.

📊 fashion-retail-analysis
NDK HF transfer project: regression, confidence intervals, Quarto reporting – based on >6M synthetic transactions.

🧱 (Private project)
Multi-layered data system with modeling logic, scoring, validation, and UI in R Shiny.
Focus: structured architecture and applied logic from ingestion to interpretation.

• GitHub: @alunera-data
• LinkedIn: Yvonne Kirschler

"Structure is clarity – and clarity builds confidence."