Add ExpAn to Projects

content/projects/expan.md

@@ -0,0 +1,30 @@
++++
+title = 'Python library for statistical analysis of A/B tests'
++++
+
+## ExpAn: Enhancing A/B Testing with Automation and Standardization
+
+**Github link**: [https://github.com/zalando/expan](https://github.com/zalando/expan)
+
+**Overview**: A/B tests, or Randomized Controlled Trials, are crucial for optimizing business processes and user experience across various industries. To streamline the statistical analysis of these experiments, ExpAn (Experiment Analysis) was developed as a Python library. This library not only standardizes data structures but also paves the way for automation by being embedded into services.
+
+**Objective**: The primary goal was to formalize and encode the analysis process of A/B tests, facilitating further automation by integrating the library into broader services.
+
+**Role**: As one of the main contributors on this project, I was responsible for:
+- Open-sourcing the project on Github.
+- Packaging the ExpAn library using setup.py.
+- Publishing the package to PyPI.
+- Automating the deployment process with TravisCI.
+- Performing robust tests on multiple Python versions and environments using tox, ensuring high test coverage with coverage.
+
+**Technology Stack**:
+- **Language**: Python
+- **Libraries**:
+  - **pandas**: For structuring and analyzing data
+  - **scipy**: For advanced statistical analysis
+  - **tox**: For testing
+  - **Sphinx**: For documentation
+  - **coverage**: For measuring test coverage
+
+The combination of these technologies and processes ensured a robust, automated workflow, enhancing the efficiency and reliability of A/B test analyses.
+