Unveiling Attrition Trends Through People Analytics
Intro In the realm of HR Analytics, understanding the patterns and factors influencing employee income is crucial for informed decision-making. This project dives into a detailed exploration of income within an HR dataset, employing various data science techniques and visualizations to extract valuable insights. My primary focus is the influence of employee demographics, job satisfaction,
Optimizing Workforce Strategies through People Analytics
Intro to People Analytics People Analytics, a data-driven approach to understanding human behavior within organizations, plays a pivotal role in aiding HR professionals and decision-makers. By leveraging statistical methods and data exploration, this People Analytics project aims to uncover patterns and influential factors contributing to employee attrition. The focus is on utilizing machine learning techniques,
Creating a Tableau Dashboard
One of the most popular tools for creating stunning data visualizations is Tableau. Tableau is a powerful data visualization tool that enables you to connect to various data sources, explore, analyze, and create interactive visualizations. I created a Tableau dashboard using the “Getting Started” training videos provided by Tableau. Note: Tableau offers a 14-day free
Market Survey Research Analysis
I wanted to explore a survey dataset and also use a few ensemble machine learning models. I found a Kaggle dataset on market research survey which is a demographic survey that focuses on customers preferences regarding the computer brands Acer and Sony. The demographics included salary, age, education, car model, zipcode, and credit. Note: there is a
More Spotipy with Oliver Heldens & Hi-Lo
I had such a great time creating the last spotipy project with Eric Prydz and his Pryda alias that I decided to improve on that project with another DJ and alias. My next focus is Oliver Heldens and his darker techno persona Hi-Lo. Since Hi-Lo has been becoming more popular, I was curious to see
Learning to use Spotify API and .env files
On this project I wanted to learn how to pull data from Spotify. I love Spotify Wrapped and want to eventually code something of that level of sophistication. For now I decided to start with something basic and compare the top tracks of Eric Prydz and his alias Pryda. Using the Spotify API was easy