You hear time and time again how 50 to 80 Percent of Data science projects is spent on data wrangling munging and transformation of raw data into something usable. For me personally. I’ve automated a lot of those steps. I built tools over the last 20 years that help me do more in less time….
Category: Data Science
NOAA Radar and Severe Weather Data Inventory
After I finished evaluating the Storm Events Database from NOAA, I was convinced we needed to look for machine recorded events. When you start poking around the NOAA site looking for radar data, you’ll find a lot of information about how they record this data in binary block format. Within this data, you’ll find measurements…
Data Quaity Issues
This entry picks up the story behind my first data science project predicting hail damage to farms. In this article we identify data quality issues in our first data source. Property and Crop Damage In the NOAA documentation these two columns were recorded to say how much property and crop damage occurred in a given…
Data Science Project 1: Predicting Hail Damages
Early on in my new role I was asked to find out how risky it was to offer hail insurance for a given property. If you haven’t worked with insurance before here’s the basics. You’re placing a bet that says I’m betting something bad is going to happen. The insurer is betting that it won’t…
Becoming a Data Scientist
In my latest professional change I’ve moved into a role with a bright and shiny title: Data Scientist. I’ve heard all the hype around Data Science, Machine Learning and Artificial Intelligence, and I don’t buy a lot of it. I do believe these words will change how we do everything. I just don’t know that…