data analysis

Exploratory Data Evaluation for Credit Scoring with Python

project, it is commonly tempting to leap to modeling. Yet step one and crucial one is to know the info. In our previous post, we presented how the databases used to construct credit scoring...

I Stole a Wall Street Trick to Solve a Google Trends Data Problem

is a god-send for market research. If you must understand interest in a selected term you possibly can just look it up and see the way it’s changing over time. That is the...

The Gap Between Junior and Senior Data Scientists Isn’t Code

five minutes on LinkedIn or X, you’ll notice a loud debate in the info science industry. It’s been out for some time now, but this week, it finally caught my attention. As much as...

Methods to Define the Modeling Scope of an Internal Credit Risk Model

going through a deep transformation driven by technological progress. These changes affect all sectors, especially the banking industry. Data professionals must quickly adapt to grow to be more efficient, productive, and competitive. For knowledgeable...

Decisioning on the Edge: Policy Matching at Scale

This text was written in collaboration with César Ortega, whose insights and discussions helped shape the ideas presented here. the best data product starts with sitting down with business partners to know day-to-day workflows,...

Is the AI and Data Job Market Dead?

data science was dying 7 months ago? It was also dying 2 years ago.  And dying 3 years ago. And never to say it was also dying 5 years ago. Nonetheless, from where I stand, this is...

Why Every Analytics Engineer Must Understand Data Architecture

, but in point of fact, little nuances in designing your data architecture could have costly implications. Hence, in this text, I wanted to supply a crash course on the architectures that shape your...

Study: Platforms that rank the most recent LLMs will be unreliable

A firm that desires to make use of a big language model...

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