Global AI & Data Science Salaries (2020–2025) — Multi-country, multi-role synthetic dataset with full EDA, code notebooks, visualizations, and benchmarking insights.

This project presents an interactive Yearly Salary Review Dashboard for 2025, built to analyze organizational salary and bonus distribution across departments and cities in India. The dashboard enables data-driven insights into compensation trends, cost drivers, and regional salary variations using clear, business-oriented visualizations.

Analysis of hiring trends and talent demand in the Indian job market 2025 using SQL and Power BI. This project covers data cleaning, advanced SQL analysis, and interactive dashboards to derive insights on roles, skills, salaries, experience, and remote hiring trends.

Final project for the Big Data Analytics course focused on salary prediction using the Stack Overflow Developer Survey 2025. The project uses KNIME to perform data preparation and compare machine learning models, identifying key factors influencing developers’ compensation and deriving managerial insights.

An exploratory analysis of 2025 Data Science, AI & ML job salaries using Python, Power BI, and Streamlit.

A comprehensive data analysis project that explores salary trends in the fields of AI, Machine Learning, and Data Science from 2020 to 2025. Utilizing Python for ETL processes, SQL for data queries, and Power BI for interactive visualizations, this repository provides valuable insights into the evolving job market.

Interactive Tableau and Python analysis exploring the UK Data Job Market — salaries, job titles, and city insights (2025)

Exploratory data analysis of 2020–2025 AI & Data Science job salaries with insights by role, experience, location, company size and remote work.

Interactive Power BI dashboards analyzing 2025 AI & Data job market trends, skills demand, and salary insights.

Data job postings analysis (2023–2025): demand, skills, and salary insights using Excel, Power BI, SQL and Python.

Python-based analysis of global data science salaries (2020–2025). Project covers data preprocessing, exploratory analysis, feature engineering, and machine learning salary prediction. Insights reveal major compensation drivers across experience levels, job roles, and company sizes.

AI Jobs Market 2025-2026 Salary analysis, predictive modeling, and insights on AI roles worldwide using Python, ML, and data visualization.

📊 Data-driven analysis of London housing affordability (2015–2025) using SQL for data wrangling and Tableau for interactive dashboards. Highlights rising house prices vs salaries, affordability ratios, and borough-level insights.

Big Data Analytics project analyzing global Data Science, AI & ML salary trends (2020–2025) using MongoDB, PySpark/Python, and CatBoost. Includes data preprocessing, EDA, predictive modeling, and a Streamlit dashboard for interactive salary prediction and insights.

Big Data Analytics project analyzing global Data Science, AI & ML salary trends (2020–2025) using MongoDB, PySpark/Python, and CatBoost. Includes data preprocessing, EDA, predictive modeling, and a Streamlit dashboard for interactive salary prediction and insights.

Exploratory data analysis of the Stack Overflow Developer Survey 2025 using Python, Pandas, and Matplotlib, focusing on developer demographics, salary distribution, technology usage, and correlation insights.

To analyze the global AI job landscape in 2025 by extracting, transforming, and visualizing insights related to salaries, skill demands, experience levels, remote policies, benefits, and hiring patterns — using Excel’s data modeling and visualization capabilities.

India Data Analyst Job Market 2025 — end‑to‑end Power BI project built from scratch. Includes data sourcing, cleaning, modeling, and interactive dashboards on salaries, skills, hiring trends, city insights, company hiring for freshers, and market projections. No guided templates used; all visuals and measures are custom. (sep,2025)

An Excel-based data analysis project exploring global trends in AI job postings and salaries using a dataset of 15,000+ roles from 50+ countries. Includes insights into salary drivers, top-paying countries, remote work patterns, in-demand skills, and hiring trends from 2024 to 2025.

Repository Description (Short) Global AI Job Market & Salary Trends 2025 A data analytics project analyzing global AI and machine learning job roles, salaries, experience levels, company sizes, and geographic trends using Power BI. The project provides interactive dashboards and insights to support career planning and market understanding.

This project analyzes the City Employee Earnings Dataset from Data.gov, featuring quarterly compensation data for Philadelphia public employees (2019–2025). It explores salary patterns, departmental differences, overtime trends, and workforce pay insights using data cleaning and visualization.

Comprehensive EDA of Canada’s 2025 job market using Python & Pandas. Analyzes 30,000+ job postings across industries, salaries, hiring trends & remote work. Features Toronto deep-dive comparison, interactive dashboards & actionable insights. Perfect for junior analysts learning real-world data exploration techniques.

📊 A data analytics project that extracts insights from job postings to analyze IT hiring trends. It identifies the most in-demand skills, salary ranges, and hiring hotspots across India in 2025.

This project analyzes 2025 Data Science job postings to uncover trends in job demand, skills, salary, seniority levels, and work modes. The goal is to provide actionable insights for job seekers and hiring teams.

A Python-based analytics dashboard built with Streamlit for visualizing data science job postings in 2025. Includes multi-dimensional filtering, KPI metrics, salary analysis, skill demand tracking, and company insights through interactive Plotly charts.

📊 AI/ML/Data Science Salary Dashboard (2020–2025) An interactive Power BI dashboard showcasing salary trends for AI, Machine Learning, and Data Science roles from 2020 to 2025. Features include role-wise, location-wise, and experience-level analysis with visual KPIs and dynamic filters for insight-driven exploration.

German Data Analyst Job Market Analysis (2024–2025) End-to-end data analysis project exploring job trends for Data Analysts in Germany. Using Python, Pandas, and Power BI, this project uncovers insights on skill demand, salary trends, and city-specific opportunities — offering a data-driven look into the evolving analytics job landscape in Germany.

Developed a salary prediction model using 2025 AI/ML job data with EDA and feature engineering. Trained Linear Regression (R² = 0.85) and Random Forest (R² = 0.88) models. Used Gemini LLM to summarize insights and interpret results via natural language prompts.

This project analyzes the 2025 global AI job market using data from Kaggle, focusing on salary trends, experience levels, remote work, and job roles. I used Python to clean, explore, and visualize the data extracting insights that highlight which countries, job titles, and work types offer the most competitive compensation in AI.

Indian Job Market Analysis (2015-2025): I analyzed a decade of hiring data using Excel & Power BI to decode salary benchmarks. The interactive dashboard reveals a 30% "Tech Premium" in Bangalore and tracks the shift of remote work from a general perk to a senior-only privilege. Empowers job seekers with data-driven career ROI insights.