This site is a collection of my reflections on tools, workflows, and concepts used in data analysis. Most posts focus on Python libraries (e.g., pandas and seaborne), exploratory data analysis techniques, and the reasoning behind different analytical approaches.
I write these pieces for myself.
For me, writing is the best way to reinforce concepts and cement knowledge. Explaining a method step-by-step (and in writing) helps me find gaps in my understanding and creates a record I can look at later when similar cases come up. I’ve also found that programming is a muscle, like writing. Both need to be worked regularly, otherwise they atrophy and wither, making the process slower and stiff. This blog keeps me motivated to continue practicing both writing and programming skills in my free time.
Basically, this site is like my living library to help me better catalog all the things I’ve learned in my data journey.
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Why shambolic analytics?
Shambolic means “obviously disorganized or confused”. To me, this perfectly captures the frenzied state of my notes and reflections on my data analysis journey. These writings aren’t meant to be perfect or obviously related. The point is to get everything out of my head and into a collection that is slightly more organized than my notebooks. And to create a resource that I can easily build on overtime.
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My projects
A collection of my projects are summarized in this post. You can also click the github icon to go directly to my github page. I don’t have a LinkedIn profile because of privacy concerns.
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About me
My background is somewhat unusual. I originally studied modern literature at the University of California, Santa Cruz, and spent several years working as a copywriter and editor for a few industries (tabletop gaming, hemp, public relations, etc). My love for the mechanics of language and grammar piqued an interest in programming. What started as a quest to write custom editing macros for Microsoft Word turned into late nights reading about natural language processing (NLP), python packages, and an emerging field called data science.
To get more technical experience, I started working as a research program coordinator for research groups in the Biological and Chemical Engineering department at Drexel University. There, I helped graduate students edit their dissertations and manuscripts, compiled and submitted technical reports, and assisted with grant finances all while I completed my master’s in Data Science.
When I’m not on my computer or tucked away someplace reading, I experiment with textile crafts (knitting, crocheting) and cooking.
My favorite snack is Tajín on fresh mangoes.
shambolic analytics 