A collection of functions for calculating geometry properties
The present project aims to predict air pollution in Beijing, China, using the data set "Beijing Multi-Site Air-Quality Data Data Set"
This repository contains the "RFM Analysis" for a Sales Data of a Retailer in SQL. This is part of my Data Science Portfolio Projects
This project is Master thesis research conducted at ENEA Portici Research Center, Italy. The data is obtained from the HPC CRESCO6 cluster at ENEA Portici Research Center. The aim is to identify energy consuming areas within the data center. In this project, real-time dataset from ENEA Portici Research Center is used. There are several technique…
Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)
Cognifyz Technologies Data Science Internship project on Restaurant Data Analysis to explore insights and build predictive models.
Exploratory Data Analysis on the fictional company, Cyclistic, a bike-share company out of Chicago. "R" was used to complete this analysis for the Google Data Analytics Professional Certification.
Using publicly available data for the national factors that impact supply and demand of homes in US, build a data science model to study the effect of these variables on home prices.
In this repository, we explore the use of BRFSS dataset for descriptive analysis.
Hypothesis testing using data analytics for yellow trip car ride provider service to increase their revenue
This paper explores the importance of data analysis and visualization in data-driven decision making, and how Power BI can aid in this process. Using descriptive analysis methodology, it presents a case study of using Power BI to analyze business data from the Retail sample database of Microsoft.
Using descriptive analysis to answer business questions and make recommendations to optimize Pizza Runner's operations and drive sales.
Descriptive analysis of trends in NHS 111 activity related to COVID-19
Analyzing retail sales data to craft targeted marketing, elevate customer experiences, and forecast future sales.
Descriptive text analysis of the words contained in the Dictionary of the Spanish language (DSL).
Análise de Dados sobre índices de Depressão e seus fatores determinantes.
🔷 Customer Segmentation Using RFM Analysis 🔷 This project applies RFM (Recency, Frequency, Monetary) analysis to segment customers based on their purchasing behavior. Using Python (Pandas, Seaborn, Matplotlib), we calculated RFM scores and grouped customers into segments like Champions, Loyal, At Risk, and Hibernating.
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