(published to https://rpubs.com/seitzme/bio)
So, I am 63 but I am still in college. I just finished my Bachelors last year after working on it for 40+ years and now I’m working on my Masters. Why you ask? I really enjoy the education process. I love to learn new things about technology and really get my hands dirty with it.
I’m a grandpa. I have two kids that are now in their 30s. I have 5 grandkids. My son lives in Seattle with his wife and two bulldogs. My daughter lives in Cincinnati with her 5 children; ages 2,4,10,11 and 16. She also has a St. Berdoodle and a husband.
Her Dog
I’ve been working for DXC Technology (formerly HP) for the last 19 years.
I’ve been in IT since 1980. I started out fixing mini-computers for Digital Equipment Corporation (DEC). This was long before the internet but DEC had a network between their sites using DecNet. I read almost every technical manual they had, and quickly became an expert on their products, so started working with customers to design their computing systems. In 1984, when Ethernet products started hitting the commercial market, I led a consulting team to put Ethernet cabling into factories and offices across Ohio. At that time, the cables were huge (1/2” thick).
After that, I continued in consulting management pretty much the rest of my career working for HP. I have had the opportunity to work with many very large companies from GE to P&G to Luxottica.
I’ve used analytic software before but for the most part as a user of the data, not as the data scientist. I did get a chance to use Tableau both as a user and in a class a couple years ago. I’ve also used SAP, Microsoft Power Bi, and Informatica.
The first exposure I had to R was a couple weeks ago when I took the LinkedIn class with R introduction. I’ve worked with other programming languages like C# and Java, but R is clearly different. I look forward to learning more.
Just throwing this in since we messed with it in the lessons.
\[ M_{j}- \begin{cases} >0, &\text{if } M_{i} >0\ \leq 0, &\text{if } M_{i}\leq 0 \end{cases} \]
Thought I would throw in a random example of code. This is the structure of the mtcars data.
## 'data.frame': 32 obs. of 11 variables:
## $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
## $ cyl : num 6 6 4 6 8 6 8 4 4 6 ...
## $ disp: num 160 160 108 258 360 ...
## $ hp : num 110 110 93 110 175 105 245 62 95 123 ...
## $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
## $ wt : num 2.62 2.88 2.32 3.21 3.44 ...
## $ qsec: num 16.5 17 18.6 19.4 17 ...
## $ vs : num 0 0 1 1 0 1 0 1 1 1 ...
## $ am : num 1 1 1 0 0 0 0 0 0 0 ...
## $ gear: num 4 4 4 3 3 3 3 4 4 4 ...
## $ carb: num 4 4 1 1 2 1 4 2 2 4 ...