📊 An analysis of voting patterns in São Paulo's 2024 elections, focusing on voter behavior, absenteeism, and geographic trends.

An analytical project focused on exploring and predicting employee absenteeism using data mining and statistical techniques. It aims to identify patterns, trends, and potential factors contributing to workplace absences.

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This GitHub repository contains a comprehensive analysis of employee absenteeism at work using a real-world dataset. The project leverages Python and popular data analysis libraries to explore, visualize, and draw insights from the data.

This project exposes an analysis of worker absenteeism at work from the ascertained Data-set of employees' records of their given individual and adept information(July 2007 to July 2010).

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Analysis on Employee Absenteeism

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Python, SQL and Tableau Integration Project

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HR Absenteeism at Work Data Analysis

Exploratory Data Analysis on Employee Absenteeism

Preprocessing the Absenteeism dataset for Analysis

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Business-focused data analysis project using SQL and Power BI to design compensation incentives and reduce absenteeism. The interactive Power BI dashboard is the link below.

HR Absenteeism analysis using Power BI to uncover patterns by demographics, reasons, and seasonality, with actionable workforce insights.

Student Absenteeism Analysis with Fairness Metrics and an Interactive Tableau Dashboard

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This project focuses on analyzing and predicting employee absenteeism during working days using various analytical tools such as SQL, Python, and Tableau. The aim is to understand the underlying reasons behind absenteeism and identify patterns based on factors such as education level, family situation, commuting distance, and medical reasons.

A data analysis and machine learning project to predict absenteeism frequency in future

This data science project deals with predicting employee absenteeism in hours and finding solutions to minimize absenteeism based on the data analysis done on given data.

SQL analytics project for HR metrics: headcount, turnover, compensation, absenteeism, and performance analysis using MySQL

This project demonstrates a complete data analysis pipeline for employee absenteeism using MS SQL Server for data preparation and Power BI for visualization. The analysis uncovers absenteeism patterns influenced by health, demographics, workload, and time-based factors, enabling HR teams to make informed workforce decisions.

Absenteeism can negatively affect the organisation's ability to meet the timelines,but what are the drivers of truancy among the employees? I have a dataset about reasons for employees absenteeism at work and analysis on them

Statistical analysis of employee attendance data reveals significant patterns in workforce productivity, absenteeism trends, and overtime distribution across different organizational units.

Analysis of student absenteeism in the São Paulo school system through the SED (State Department of Education), checking how many days students are absent from school.

Analyzing and building a model using Logistic regression analysis to predict absenteeism of people from a workplace, in order to reorganize the workspace and increase productivity. Visualization is performed using Tableau.

To predict absenteeism hour of a customer in a month. Operations performed Missing Value Analysis, Anova Test, KNN Imputation, Feature selection, Super Vector Machine Classification, Gradient Boosting Algorithm, Decision Tree, Random Forest, Hyper Parameter Tuning

A drag-and-drop Excel tool for managing attendance. Easily select columns and filter individuals with low attendance (e.g., <75%). Simple UI with live suggestions for quick analysis. Perfect for monitoring and addressing absenteeism.