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What Are Vector Embeddings?
Is vector embedding one of those buzzwords in data science? What are they and why are they important? In short, they are decoders or translators, essential for machine learning.
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Why P-Values Don't Mean What Most People Think They Mean
Very early in my PhD program, I began working with and testing hypotheses. One of the first challenges I had to overcome was understanding the p-value.
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What is Bias and Variance Tradeoff
You don't want the model to over- or under-fit. You have to strive to find the right balance between the two. That is the bias-variance tradeoff.
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Why Data Science Projects Fail and How to Avoid It
Not long ago, I sat with an apartment owner who had taken over 144 units. There were 15 vacant, 12 on move-out notice, and four evictions for the end of the month. If the notices and evictions were to go through, the occupancy rate would be at 78 percent.
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Amazon Ships Before You Order—Here's How Your Business Can Do the Same
Amazon ships products before you order them. And it's been doing it for over a decade.
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Property Files #2: When the System Fails Everyone
I debated whether to share this story. Evictions are one of the most difficult parts of property management—and one of the least understood or perceived as corporate greed. From the outside, it looks simple: the resident doesn't pay, the landlord kicks them out. Landlord wins, residents lose.
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The Silent Profit Killer: How Utilities Drain Multifamily NOI
As a vendor in the multifamily industry, I was constantly visiting properties, talking to managers, maintenance technicians, and occasionally, owners.
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Property Files #1: Becoming a Manager
54% occupancy. 20% delinquency. 4 hours of training. My first property management job taught me why data matters—the hard way.
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Pareto Analysis in Action: Optimizing Multifamily Maintenance Operations
Italian economist Vilfredo Pareto found that 20% of Italy's population received 80% of the country's income. This became known as Pareto's principle, also known as 80/20 rule.
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Why Your Property Needs a Dashboard
The multifamily industry is heavy on reporting. None of the most common software packages provides the reports that most owners or managers require. That's why I've created Catalyzer. It is a dashboard that not only provides robust real-time reporting but also has machine learning algorithms for enhanced forecasting.
About
I am a veteran. I spent years in intelligence analysis, where being confidently wrong carried a cost, and that is where I learned to separate what evidence shows from what it suggests. I have a master's in journalism and communications, and I am finishing a doctorate in data science on how findings get communicated. I work in English and Portuguese.