Data Analyst and Enthusiast well versed in SQL, Python and Tableau
@Sai_Praneeth
Click on an Image for detail explaination and on the button View Project to see the code.
In this Project used k-means clustering on grocery transaction data to split out customers into distinct"shopper types" that could be used to better understand customers over time, and to more accurately target customers with relevant content & promotions using RFM analysis.
In this project, we help Danny to run his restaurant by exploring the data using Postgres SQL.
Created and applied a Random Forest Classification model in order to both understand & predict links between pregnancy & diabetes in humans. The model predicted diabetes risk with 90% accuracy meaning patients could be treated at an earlier stage, reducing risk.
A simple step-by-step guide to web scrape data from publically available websites using python.
Data Visulaizations using Dashboards.