Ari Abramson

I most enjoyed learning how to use the “hot” technology that all companies use to sort, analyze, and visualize their data, specifically: SQL and R. Both of these new skills I’ve developed will help me succeed in my internship role this summer, and in upcoming employment opportunities. I would explain to an employer in an interview that this class…[Read more]

A retail company could use decision trees for determining product roll-out strategies. Data which would be included in the tree is previous sales data for similar product categories, geographical and demographic data for the potential new regions in which a product would be rolled out in, and previously existing customer data that the company has,…[Read more]

Companies within the finance and insurance industries use R to develop new trading, pricing, and optimization strategies to increase returns and minimize risk. As an example, Lloyds of London insurance market uses R to model the potential costs associated with catastrophes such as hurricanes and earthquakes.…[Read more]

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This infographic tells a nice story about why it’s important to invest in good customer service practices. It is an example of good data visualization because it uses colors that both differentiate each section from one another, but all go well…[Read more]

You could use the JOIN syntax when analyzing students’ attendance at an event. Join a table containing student data, and a table containing the event checkins, using the primary key of Student ID to pair student information to attendance status.

I find that the trickiest thing about creating an ERD from a problem description is staying organized throughout the process. In many scenarios, attributes will be scattered throughout the description, and not all conveniently listed together next to where the entity is mentioned. I find that the best way to tackle this problem is by using five or…[Read more]

When working as a Retail Manager for Armark during the World Meeting of Families last semester, I sold “pope attire” to the mass crowd the event attracted. We kept a strong track of inventory numbers and used that data to determine what inventory needed to be replenished during the next re-stocking period. By effectively tracking and analyzing…[Read more]