Announcing a New Chapter I’ve become a Closer. That is, being a member of ClosedLoop.ai. I recently joined the product team at the Austin-based healthcare data science startup. I’m eager and delighted on so many levels to focus on data science product management at this organization. I’ll tell you why below.

There’s a memory of a time long ago that lives in a distant pocket of my mind. It’s hidden behind years of experiences, weathered by the meanderings of life. If there was such a thing as time and space travel, this would be it. I’m talking about another kind of…

The customer journey approach that product management leaders should use to drive growth — Previously, we discussed how product success does not stop at general availability (aka “GA”). Rather, product success must be measured by customer adoption. We discussed why that is the target and why that is important. We touched on some of the key metrics to measure adoption by. …

GA is only one stop along the way to success — I applaud all the product managers and product teams that have taken a product from an idea into any further stage — alphas, betas, or General Availability. It is no small feat. I speak to the product managers and product leaders, particularly to those in large B2B technology firms that…

Three years ago I started my journey at athenahealth, a Watertown, MA based health tech company. It was a memorable experience. It started with a three legged trip to Point Lookout, Maine for new employee onboarding. I’ve never had the opportunity to do a remote onboarding in such a location…

Python Machine Learning After 10 months of Jupyter notebook by notebook, 149 lesson by lesson inchwise progress, I completed the Udemy Python for Data Science and Machine Learning course by Jose Portilla. It was a great follow on to Andrew Ng’s Intro to Machine Learning course that I finished January 2018. In the middle of the course at the beginning of this year, I took a break to analyze the CDC population health dataset doing exploratory data analysis (EDA). Jose’s course was well put together and give it solid recommendations for those looking for broad python based learnings.

Detailed analysis of population health indicators, social determinants of health, and effects on gender and race — In part 2 of our CDC Chronic Disease indicator dataset, our analysis revealed several areas with highly correlated interrelationships — indicators within the cardiovascular disease, chronic kidney disease, diabetes, and select indicators in the overarching conditions “social determinants” category. …

The ties among diabetes, chronic kidney disease, and cardiovascular disease — In the last story, we started looking into a 15 year chronic disease dataset from the U.S. Center for Disease Control and Prevention, or CDC. The beginnings of the exploratory data analysis started with understanding the columns and rows of data and what was relevant for further analysis. In this…

An exploratory data analysis of population health indicators using Python and data science techniques — Recently, I’ve taken on a personal project to apply the Python and machine learning I’ve been studying. Since I’ve an interest in population health, I decided to start by focusing on understanding a 15 year population health specific dataset I found on Kaggle. This dataset was from the US Center…