Just a few things I've done and a few things I'm doing
I'm currently in product strategy in the biotech/healthcare field. I was previously in (and still sort of in) the data science field but age and life have a way of making you feel out of touch with the new stuff.
Fortunately, I like to build things. Currently, I build educational tools for data scientists, students, and professionals interested in growing their analytical skills.
I am also an adjunct professor in Business Analytics and Information Systems in the School of Management at the University of San Francisco. I teach both undergraduates and MBAs about technology systems and analytics.
I primarily write essays on data science and careers on my blog below. In addition, I am a regular contributor to an online magazine .cult. I have guest posts on other blogs such as KDNuggets, Towards Data Science on Medium, Better Programming on Medium, Hackernoon, and others.
For some reason, people want to hear my thoughts on how I think about starting and running a business. Here are some podcasts where I talk about such things.
I'm an adjunct professor in the School of Management at the University of San Francisco. I teach both undergraduate and graduate level classes primary in business analytics.
Graduate courses (MBA level):
Most of my projects these days can be divided into 2 categories -- professional and education. I can't post any of my professional projects here but below is a sampling of a few small tools I built over the years. The biggest side project so far has been Strata Scratch.
Strata Scratch: Educational tools for data scientists
Import CSVs to Database Tool
An API Manager to manage all your APIs, written in Flask
Machine learning with Random Forest and Cross Validation
Logistic regression on email type to login
My past work involves computational and statistical modeling on biological and healthcare data. I've implemented a variety of different types of models such as signal processing, cross-correlation algorithms, monte-carlo simulations/cross-validations, k-means clustering, and a bunch of parametric and non-parametric statistical models.
Rosidi NL, PLOS ONE 2011. Spatial and temporal characteristics of the brain's inflammatory response after an injury.
Rosidi NL, JCBFM 2010. K-means cluster analysis of blood flow speed based on branch topology.
nathanrosidi [at] gmail [.] com