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
Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)
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…
Using descriptive analysis to answer business questions and make recommendations to optimize Pizza Runner's operations and drive sales.
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.
Descriptive analysis of trends in NHS 111 activity related to COVID-19
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.
Descriptive text analysis of the words contained in the Dictionary of the Spanish language (DSL).
Cognifyz Technologies Data Science Internship project on Restaurant Data Analysis to explore insights and build predictive models.
Análise de Dados sobre índices de Depressão e seus fatores determinantes.
In this repository, we explore the use of BRFSS dataset for descriptive analysis.
Analyzing retail sales data to craft targeted marketing, elevate customer experiences, and forecast future sales.
Linking a pre-existing R Project with GitHub. The project - Predicting Ice Cream Sales - was carried out on 'Statistics with R' module during the MSc Data Science for Business at the University of Stirling.
Descriptive analysis of admissions to NHS acute trusts by frailty and comorbidity scores.
This project aims to forecast sales for Rossman's 3,000 drug stores in 7 European countries for the next 6 weeks. Using time series analysis, insights can be revealed to better understand the situation. The dataset is a time series, with data collected at even intervals and ordered chronologically.
Here you will find my Data Analysis side projects from 2024
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