Making complex data, simple to use.
Sometimes I struggle to explain how I help people save time and money in a wide variety of business areas such as sales, marketing, operations, and finance.
I work with successful companies that use systems and programs to be efficient. In our data driven world, those programs tend to create lots of data which are supposed to help you make smarter business decisions.
Problem is that all these different pieces of information don’t seem to fit together logically. This wastes your time and frustrates you. Plus, you or your team members end up wasting evenings and weekends trying to make important business decisions with difficult to understand data. What should be useful and valuable data becomes pointless and complex.
I don’t suppose you’ve ever had an experience like that, have you?
I also work with people who are busy building and growing their business. But, they are worried their business is running them, instead of them running their business.
Frequently they are working late evenings trying to get a handle on their business and are concerned that they rarely have any free time.
Does that sound like anyone you know?
By chance, have you ever felt you could use easy to understand summaries of your business?
"Peter Koebel supported the team at Strategic Event Initiatives Inc. in its data science analysis for a major international project. Peter was very professional and provided timely reports based on the raw data provided."
In Grade 3 I was part of an enrichment program. One of our projects was working with the programming language Logo using their Turtle Graphics feature.
In Grade 10 AP Computer Science I learned to program in Pascal.
In Grade 11 and 12 AP Computer Science I learned to program in C++.
During my first year of University I took two semesters of Computer Science, learning to program in Java.
In some of my University Statistics courses I analyzed data with SAS.
For multiple University Math courses I programmed in Matlab.
In my Anthropology courses I studied Ethnographies, which are cultural biographies. To develop insights into not just broad ethnic cultures, but also potentially other cultures such as cities, companies, offices, hobby groups, etc.
I graduated from the University of Manitoba with a Bachelor’s of Science Degree. My major was Applied Mathematics with Statistics option and minor was Anthropology.
I have completed courses on:
Certified Tableau Desktop Specialist
Presently, I primarily work on data science projects in R and Python. As well as, professionally worked with Microsoft Excel, SQL and Tableau.
I also attend and help out at a local monthly Data Science meetup.
My Data Science videos can be viewed on my YouTube Channel here: https://www.youtube.com/channel/UC11XKzpsOJM0masvN2HFQww/videos
I celebrated International Open Data Day 2019 by helping set up and participating in the 2019 Winnipeg Open Data Hackathon.
Here is a news report on the event.
I'm in the background during the interviews, in a yellow shirt brainstorming ideas.