💰 Analysis of Salaries in IT Roles: DevOps, Cyber Security, and AI

This repository contains a Python-based program designed to calculate employee salaries. It includes functionalities for inputting employee details, calculating gross and net salaries, and handling deductions or bonuses. Ideal for beginners learning Python or developers working on payroll-related applications.

A comprehensive exploration of data science salary trends across experience levels, regions, and roles, providing key insights for career decisions and market understanding.

🔍 Advanced regression analysis of the 2025 global AI job market — this project explores key factors influencing salaries using real-world data, multiple regression models (Linear, Ridge, Lasso, Tree-based) and visual insights. Includes full preprocessing, feature engineering, model evaluation (R², MAE, RMSE) and Python–Julia workflow comparison.

This Power BI dashboard analyzes survey responses from data professionals, covering key aspects such as salary distribution, job satisfaction, and preferred programming languages. The insights help understand trends in the data industry and what matters most to professionals.

Script that allows you to quickly calculate the minimum, maximum and average salary from all active offers on justjoin.it

Visualizing data from Levels.fyi's "End of Year Pay Reports"

Analyzing hiring trends, salary distribution, and rejection rates using Microsoft Excel and Tableau. Includes a Tableau KPI dashboard and Excel-based insights for data-driven hiring decisions.

Data analytics project exploring skills, trends, and salaries in the U.S. data job market.

Hypothesis testing by ANOVA techniques and Dimensionality reduction by Principal Component Analysis

Tech Industry salaries by Community

Analysis of remote data analyst job postings to identify top-paying roles and in-demand skills using SQL.

Employees list with sort and filter

The Salary Prediction App forecasts employee salaries based on years at the company, satisfaction level, and monthly hours worked. It uses a cleaned dataset and applies machine learning models like Linear Regression, Support Vector Regression, and Random Forest Regressor, with hyperparameter tuning done via GridSearchCV for improved accuracy.

Practicing key Excel formulas to analyze job salary data using general, math, and statistical functions for data analyst learning.

Salary Analysis using Logistic regression

Designed and queried a PostgreSQL database of 300,000+ employee records. Analyzed salary trends, department structures, and manager assignments.

Artificial Intelligence merupakan sistem yang meniru kecerdasan manusia, sehingga dapat merasakan, menalar, bertindak, dan beradaptasi. Adapun Machine Learning merupakan sub-bidang yang berfokus untuk pengembangan algoritma yang belajar dari data.