A good friend once told me that you want to be known for “having something to say” instead of “saying something”.  In addition to these great words of wisdom a mentor of mine also told me “sometimes you have to make a fool of yourself”.  Well, both of these reflections are what this blog is about. I have not blogged consistently for quite some time. For those poor individuals who actually know me you are aware that I have a love and affinity for financial literacy…which is what my previous blog was mostly about.  I still have a passion for financial literacy, but just not to write about it as much.  However, if you want to get me going at a dinner party mentioning this topic is one way “not” to shut me up.

Enough of that…on to my second reflection.  I am in the process of switching careers. I have been in the Information Technology (IT) field in various capacities which included software engineering, architecture, and even management.  After some time I grew a passion for a sub-field of computer science called “machine learning” with the goal of one-day becoming a Data Scientist. Hopefully, if I can keep the writing interesting enough you will journey with me or perhaps if I am funny enough you can at least laugh at my sad attempts at humor along the way. But, my ultimate goals for this blog are for the skeptics and cynics to be challenged by my thinking and computing novices to journey toward this same goal in their personal lives.  We will talk more about what a Data Scientist is, but for now it is essentially four people in one.  We will discuss topics such as math, statistics, computer science, and even dive into specific industries and/or domains.

Science, Technology, Engineering, and Math (STEM) is at a deficit in this country and we need more people to pick up this baton and potentially increase the net worth of their respective households and the country at large. For example, according to the Bureau of Labor and Statistics the average Software Developers make over $90,000 per year and the average Data Scientists can make well over $100,000. However, for more competitive professionals they can make significantly more depending upon the industry, company, and professional experience.  In my humble opinion, that is some pretty decent coin when the median household income in America hovers around 50K.

I will forewarn you that I am still a novice at this “machine learning” stuff so most of the blog may initially be filled with anecdotes and personal reflection. But, in the vein of my previous blog I will ensure I state as many FACTS as possible, so that you are actually learning something new instead of listening to someone rant and rave about their personal feelings and emotions. Furthermore, I would like to make this blog a dialog, so I warrant  “constructive criticism”, “at-a-boys”, or preferably “good-ole fashion debate”. I hope you enjoy this blog. Know your MATH!

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