Understanding how to Construct and Analyze Pareto Charts — Pareto analysis is a decision-making method widely used by analytics teams across disparate industries. It attributes the majority of a given problem to a top percentage of cases. Specifically, it’s based on the idea that 20 percent of causes result in 80 percent of problems. In practice, the 80/20 split…

Getting Started with Conda Virtual Environments — Python virtual environments allow you to control software dependencies in Python code. Software dependency means that a given piece of software requires one or more other software package(s)/libraries to run successfully. For example Tensorflow, a deep learning library in Python, requires another Python package called NumPy to run. Virtual environments…

Analyzing patient readmission scenarios — Healthcare patient payer claims data contains insurance claim information for medical services such as PCP visits, emergency room visits, dental procedure, surgical procedures and more. The data contains sensitive patient information such as member insurance ID, details about healthcare services and procedures, insurance policy information as well as insurance coverage…

Leveraging Credit Card Transaction Data for Personalized Marketing — Personalized marketing is one of the most powerful tools businesses can use to retain customers and increase revenue. Personalized marketing involves creating customized marketing messages that are specific to a customer’s preferences and purchase patterns. Companies can use their historical customer sales data, such as credit card transaction data, to…

Using RFM Scores to Build Customer Segments — Customer segmentation is the process of identifying customer segments based on historical purchasing patterns. For example, it can involve identifying repeat/loyal customers, high spending customers, customers that make one time or infrequent purchases and much more. Segments can be created using information like frequency of purchases, transaction amounts, purchase dates…

Leveraging Classification Models for Fraud Detection — Credit card fraud is a financial crime where the identity of a victim is used to make unauthorized purchases. It occurs in various ways including theft of physical cards, loss of card information through data breaches, and elaborate scams designed to get victims to share their card information. Further, credit…

Revamping Monolithic ML Software for Modularity — Modularity is one of the most important concepts in software development and software engineering. Modular software development is the process of developing code such that software components are independent. This is in contrast with monolithic software development, where there is usually a single code based. Monolithic code is usually tightly…

Supplementing EDA: Summary Statistics, Data Visualization and Outlier Treatment — ChatGPT is a large language model(LLM) trained on a variety of text-based data sources. This includes a large quantity of text containing code used to perform a wide range of tasks. Because of this, ChatGPT can be used to supplement the workflow of software engineers, data analysts, data scientists and…

Applying Software Design Principles to Machine Learning Model Development — Software design principles are general guides for developing clean, readable and maintainable code. Design principles are important because they provide best practices that help ensure that code can be easily understood, reused, scaled and tested. Writing code without incorporating at least some of the known best practices can lead to…