+41 22 575 4445
Of course, it's not that simple. More data does not always lead to big information, i.e. better insights. Big data can actually obscure the information that you would like to have.
While I deal with both data science and data engineering, my focus is usually on the latter: The practice of designing and building systems for collecting, storing, and analyzing data. It starts with the definition of the data you'll need for a specific problem, ensuring its accuracy and integrity - which is probably the most overlook aspect of data science/data engineering. I'm not focused on technologies, but on defining and implementing processes with as much automation as needed to make the (repititive) work task more agreeable. How?
Presenting the data to see the information.
The classic of date visualization. Numbers alone often don't quite tell the story
Visualizing data in maps to display the information wanted and gain insights
See the news as data and find the real information in it to learn what story is told
Necessary skill to know several languages and technologies to code processes
Data often comes in text format in different languages. Correct tranlsation is essential
Combining data analysis techniques and methods to gain insight is like assembling a puzzle.
I no longer have COVID-19 stats online, but it was very interesting to do and showed that the media narrative was mostly fake news - all using official data from the US (all states and national) and R to evaluate it.
The conflict maps are still online and will be expanded on in the future.
Briefly describe what you would like to do and provide a way for me to contact you. Ideally provide a phone number where I can reach you.
+41 22 575 4445
Dorf 16, CH-8704 Herrliberg