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all-time-best-artist-revealed-eda-of-spotify-s-top-charts

Using Spotify data for artists, top charts, song attributes, popularity and more to identify the all time best artist in the past 20 years.

aws-project-youtube-data-engineering-data-analysis

The objective of this project is to securely load and transform, optimize, and conduct assessments of YouTube video content data, considering both structured and semi-structured data, with a focus on video categories and popularity indicators.

data-warehouse-fudge-companies

This repository highlights a Data Warehouse project simulating the merger of 'Fudgeflix' and 'Fudgemart', akin to Netflix and Amazon. It emphasizes creating an integrated warehouse using Snowflake, DBT Cloud, and an ELT strategy, with extensive SQL scripts and data transformation documentation.

ibm-attrition-analysis-dashboard

This is a Tableau dashboard that deep dive into the factors that affect employee decision to leave IBM. This is a very detailed wrokbook that has multiple dashboard pages to explore general factors and analyze multiple inter dependencies

online-shopper-behavior-analysis-and-prediction-using-pyspark

This project analyzes the "Online Shoppers Intention" dataset to understand shopper behavior and e-commerce effectiveness. Using PySpark, it creates visualizations and insights, identifies key behavioral factors with PCA, and develops a model predicting revenue-generating website sessions.

predicting-high-healthcare-expenditure-customers-for-hmo

Used various healthcare data points for customers of a HMO and predicting whether a customer will have high health care expenditure or not

university-international-student-final-expense-database

I collaborated with a team to integrate external data models into a university's financial database using SQL scripts in Azure Data Studio. Additionally, I developed a PowerApps application to collect and analyze data from 450-500 international students, offering insights into their preferences within the university area.

using-facial-emotions-to-detect-social-environment

I developed a machine learning model and used facial emotions to help children with autism to detect the kind of social environment they are interacting in

vaibhavchaudhari.github.io