mmarrder Toolkit
A personal Python library published on PyPI. It abstracts complex ETL processes and standardized reporting functions into simple method calls.
PythonPandasSoftware Design
I don't just extract data; I model reality.
Combining Business Strategy, Python Engineering, and Applied Mathematics to drive decision-making in critical sectors.
Data without structure is noise. I use statistical modeling and logic to find signals where others see chaos.
Code is a tool, not the goal. My background in Business Admin ensures every analysis impacts the bottom line.
Building reusable libraries (ETL), optimizing SQL queries, and automating workflows for scalability.
A mix of open-source tools and operational case studies.
A personal Python library published on PyPI. It abstracts complex ETL processes and standardized reporting functions into simple method calls.
Developed a logistic regression model to identify high-risk events in operational workflows (Healthcare context), reducing readmission costs.
Built a custom NLP-based parser to transform free-text legacy logs into structured SQL tables for analytical dashboards.
Explorations in concepts, algorithms, and continuous learning.
Exploring how derivatives can identify inflection points in operational efficiency curves.
Read (Soon) →A deep dive into the architecture of 'mmarrder' and the philosophy of automating repetitive data tasks.
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