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Cloud & Platform Engineering
My engineering approach centres on building reliable, secure and maintainable infrastructure. As a certified software architect and requirements engineer, I combine hands-on technical work with structured architectural thinking.
I specialise in AWS cloud infrastructure — designing IAM structures, managing Terraform-based environments, operating EC2 instances and building CI/CD pipelines with GitHub Actions. I manage Docker images for SageMaker and automation workflows, and have hands-on experience deploying and running Linux servers in production.
I also develop in Python (packages, APIs, frameworks) and R (Shiny, package development), and have experience with PySpark for large-scale data processing on AWS Glue.
AWS
Github
Linux
Docker
SQL
R
SPSS
Python
Data Science & Analytics
I have broad experience in data science, from raw data collection and cleaning through to statistical modelling, analysis and communication. At gfs.bern, I spent years building and refining quantitative models for Swiss national elections and referenda — including real-time vote projections broadcast on national television, where accuracy and speed under pressure were non-negotiable.
My analytical toolkit includes regression modelling, cluster analysis, principal component analysis, post-stratification, imputation methods and natural language processing. I have applied these techniques across national polling data, international surveys, media monitoring and text mining projects — always with a focus on methodological rigour and honest interpretation of results.
More recently, my data work has taken on a stronger engineering dimension: building ETL pipelines in PySpark and AWS Glue, managing data in Apache Iceberg format, and developing enterprise R Shiny dashboards and R packages used across PostAuto. My primary languages are R, Python and SQL, with additional experience in SPSS and Stata for academic-style analysis.
Political Science & Research
I have a strong background in political science, social research and quantitative data analysis, built up over years of academic study and applied research at gfs.bern, one of Switzerland’s leading political research institutes. My work there included designing and conducting national and international surveys, with a focus on crafting questions that genuinely capture what clients need to know — not just what is easy to ask.
I am experienced in a range of analysis methods suited to survey and social data: causal inference, multi-level modelling, longitudinal analysis and electoral behaviour modelling. My MA thesis focused on developing innovative methods for predicting Swiss election and referendum outcomes, and I co-authored a peer-reviewed publication on the validity of left-right political scales across European democracies.
My political science background gives me something that purely technical profiles often lack: the ability to contextualise data within its social and institutional setting, ask the right questions before building a model, and communicate findings clearly to non-technical audiences.
international surveys
forecasting
customer analysis
Projections
Decision Analysis
Contact MeContact me
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Do you have a question, want to give feedback, or simply share something? I look forward to hearing from you! You can contact me by email or through the contact form on this page. Alternatively, you can connect with me directly via LinkedIn.
: Aeschi b. Spiez, Berne, Switzerland
: German, English, French