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US Economic Outlook 2025
With the 2024 election in the rear view mirror, we have a better picture of what policy for the next few years is going to look like. As such, we have a better idea on what to expect from the US economy over the next few years. That has largely colored my analysis this year.…
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Double-Entry Accrual Accounting for Personal Finance
So I started to put together my family’s finances recently. I thought about using some fintech solution. Ultimately, in my data nerdliness, I landed on using double-entry accrual accounting principles to look at my finances through. At first, I thought to myself, “I should use some fintech account aggregator”; but then I thought, “Wait, they…
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The 7 Most Common Discrete Probability Distributions
Anyone who has taken a slightly rigorous statistics class will have bumped into these probability distributions before. What I want to focus on is giving an overview of each of these probability distributions, when they are useful, and what you can do with them with some real life examples. This post is meant to be…
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4 Data Strategies for Companies in a Post-Covid World
Covid-19 has really shaped our world in ways that I wouldn’t have expected just 6 months ago, which feels like a lifetime ago. I personally have been hiding out my garage for the past few months. Time seems to have both sped up and slowed down simultaneously. Covid-19 has changed the landscape for data professionals…
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3 Changes due to Corona Virus For Data Professionals
I love being a data professional. I mean, my job is to literally look at the data and figure stuff out. I’m supposed to come up with cool insights. I also get to tell the story of how a business functions. It is a very awesome job, with awesome things to do. But corona virus…
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Data Science and Weight Loss
I’m actually really excited to talk about this . It has been in the works for awhile now. Weekends and evenings of non-stop hacking with a two week push to get this out the door. It feels like it has been forever since I had this idea. And now, here it is! It is Skinnier…
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Causality, a Brief Note
This post is all about causality. In data science we are often concerned with simple correlations. As someone trained in econometrics, as any one can tell you, the key thing that you should be concerned with is causality. We are often worried not about correlations; correlations lie. We want to get at causality. Causality is…
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Solving Stochastic Differential Equations in Python
As you may know from last week I have been thinking about stochastic differential equations (SDEs) recently. As such, one of the things that I wanted to do was to build some solvers for SDEs. One good reason for solving these SDEs numerically is that there is (in general) no analytical solutions to most SDEs.…
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Stochastic Differential Equations and Econometrics
Recently, I’ve been reading up on stochastic differential equations. I’ve had some ideas on some projects at my day job, and quickly realized that I would need to write down some evolving processes that were inherently stochastic, thus why I’ve been reading up. This post will be short, and for more advanced readers may even…
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Dealing With Strings in Pandas
Learn to deal with strings in pandas.
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Strategic Thinking in Data Science
Some thoughts on strategic thinking in the world of data science. Here are 3 questions to kickstart your strategic thinking.