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"

Hypothesis testing using data analytics for yellow trip car ride provider service to increase their revenue

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 techniques implemented including big data analytics and AI technology.

Descriptive analysis of trends in deaths

Cognifyz Technologies Data Science Internship project on Restaurant Data Analysis to explore insights and build predictive models.

Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)

In this repository, we explore the use of BRFSS dataset for descriptive analysis.

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.

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.

Data Mining Web Application to Identify Anomalies in Public Procurement Rating Parameters

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.

Analyzing retail sales data to craft targeted marketing, elevate customer experiences, and forecast future sales.

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

We've developed an intelligent real estate recommendation engine that achieves 95% accuracy in price predictions while personalizing property suggestions to individual preferences. By implementing the KNN algorithm, our system analyzes thousands of historical transactions to determine recommendation properties

Descriptive text analysis of the words contained in the Dictionary of the Spanish language (DSL).

汇总统计 SAS 宏程序

Análise de Dados sobre índices de Depressão e seus fatores determinantes.

Exploratory and Predictive analysis of the Dota 2 dataset

Rakesh Men's collection of SQL-based data analysis projects showcasing query skills, insights extraction, and data-driven decision-making.

My first Power BI dashboard showing regional product-sales analysis. I made this watching through tutorials online.

Facebook ad Campaign

🔷 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.

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.

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.

Descriptive analysis of admissions to NHS acute trusts by frailty and comorbidity scores.

Excel Project where I have analyzed an Amazon dataset through an insightful dashboard for an hypothetical client.

Utilizei análise descritiva, e ordem e percentil afim de responder algumas hipóteses que havia formulado, além disso, tive de usar funções do Excel como: segmentação de dados, formatação condicional, validação de dados, smart art, gráficos e tabela dinâmica.