Laura Blaszczyk

In my opinion financial services firms are greatly impacted by data science (ex: JP Morgan & Chase, Royal Bank of Scotland, Ernst & Young, TD Bank, CapitalOne, etc). These firms rely heavily on analytics for their internal data as well as the incoming data which they base a lot of business decisions on. Data science will most likely have a daily…[Read more]

https://www.ers.usda.gov/data-products/fruit-and-vegetable-prices.aspx
I found the above data set on the http://www.data.gov website. It is average price information on 156 of most commonly consumed fruits and vegetables (fresh and processed). I find this to be interesting because I try to make the majority of what I consume to be healthy fresh produce…[Read more]

One notion of conventional wisdom that I’ve encountered in the workplace is: with age comes experience and therefore makes an individual more qualified for a position than another who may be younger. The expectation that someone who is older will have more experience at a specific task or set of tasks than someone who is younger. This is not…[Read more]

The questions would be should we write off an account payable or invoice. The decision tree could break down the factors or predictors that would help the business in knowing whether they should still expect payment or write it off and move on. To select the predictors you would want to use information that directly relates to repayment like how…[Read more]

Facebook uses R for behavior analysis for things like profile pictures or status updates. Studying their customers behavior can help in making other business decisions.
http://www.datasciencecentral.com/profiles/blogs/list-of-companies-using-r

Vanessa I love this! Awesome first blog post. Great time at the event and looking forward to attending many more with you.

For me, the most difficult part of creating an ERD is identifying the actual question that is being asked and then entities that are necessary to answer this question. Having extra information can muddle the important information and confuse you. I think the best way to deal with this is to underline the actual question or write it down. Then…[Read more]

I work at an engineering firm and sometimes work with our marketing department when trying to quantify some of the marketing efforts. We gather information from social media, such as how many likes, shares, etc we receive and try to find trends in what we are doing that causes these numbers to fluctuate. For example: if we received more traction…[Read more]