Obviously, if you’re here, you’ve come to see examples of my work. I will be posting a lot of it very soon!
I had a great professor at NYU Stern–Dr. Ravi Bapna–who told me “The house of analytics is built upon a foundation of data engineering.” The plan is to begin by showcasing my abilities in data cleaning, aggregation, and transformation–essential skills to support the pillars of data science and analytics work.
From there, I will create examples in each of those pillars–descriptive, predictive, causal, and prescriptive analytics work.
Finally, I will create some examples of the most important (and difficult) analytics tasks: the professional skills of storytelling and communication of analytics results to interested and invested parties.