An end-to-end Power BI analytics practice project exploring global Data Science salary trends, job market dynamics, and hiring funnels. Featuring interactive dashboards, advanced DAX measures, and geospatial analysis to uncover insights into compensation, degree requirements, and industry demand.

This project explores and analyses global salary trends within the data science industry using the Data Science Job Salaries dataset. The goal of the analysis is to uncover meaningful patterns across job titles, experience levels, company sizes, remote work dynamics, and geographic locations.

LSTM Prediction and Dashboard for Data Science Salaries.

Data analysis and machine learning project analyzing global data science salaries.

An analytical study of global Data Science job salaries using Excel, SQL, and Power BI. Project includes data cleaning, salary comparison by job role and experience level, top-paying countries, and interactive visual dashboards.

This project analyzes global salary patterns across Data Science and AI roles to inform hiring strategy, cost optimization, and compensation risk planning.

An interactive Tableau dashboard analyzing global data science salaries across job titles, experience levels, company sizes, and locations. This project demonstrates real-world business intelligence dashboard development skills including data modeling, visualization, filtering, and storytelling.

A Power BI dashboard project analyzing global salary trends across Data Science, AI, and other tech roles between 2020 and 2025. The dashboard explores how job title, experience, company size, location, and work mode impact compensation and employment trends.

This project provides a data-driven analysis of the global AI and Data Science job market. By examining key factors across multiple datasets—including salary distribution, skill requirements, tools preferred, and hiring trends—this study aims to uncover the true value drivers for professionals in the field.

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Data Analytics project using Python and Tableau on global data science salaries

Project analyzing a global dataset of data science-related job salaries

Excel-based data analysis project to explore global Data Science job trends, salaries, job types, and country-wise demand.

Tableau dashboard project providing insights into global data science salaries, job roles, experience levels, and employment trends.

Exploratory Data Analysis of global Data Science salaries using Python. The project investigates how experience, company size, location and remote work influence salary trends.

Tableau project analyzing 607 Data Science jobs across 50 countries — exploring salaries, roles, company sizes, experience levels, and global career trends.

My project demonstrating my Excel skills featuring large datasets on global salaries based on data science roles, skills and job location.

"A dual visualization project analyzing athlete performance and data science salaries. Includes interactive Jupyter Notebooks for exploring Olympic athlete data and global data science salary trends. Built with Python, Pandas, Matplotlib, and Seaborn for data analysis and visualization."

An end-to-end Data Science project analyzing global Data Science salaries. Covers data preprocessing, EDA, statistical analysis, feature engineering, regression models, model evaluation, and business insights useful for real-world decision making.

This project analyzes 2025 salary trends across Data Science, AI, and Machine Learning roles using a global dataset.

This project presents an interactive Tableau dashboard that explores global data science salary trends from 2020 to 2025.

A data analysis project that explores global data science job salaries, experience levels, remote work trends, and company attributes using the ds_salaries.csv dataset. Performed using Python, Pandas, Matplotlib, and Seaborn.

A Streamlit-based interactive dashboard for analyzing global Data Science job trends. This project provides insights into salaries, hiring patterns, and geographic demand for various roles in the data science and tech industry.

A comprehensive exploratory data analysis (EDA) of global tech and data science salaries using Python. This project uncovers how job title, experience level, employment type, company size, geography, and remote work influence salary outcomes.

A Data Science project using Python to analyze global salary trends, featuring data cleaning, statistical grouping, and visual insights using Pandas and Seaborn.

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.

This project is a comprehensive machine learning model focused on predicting software developer salaries globally. Utilizing the Stack Overflow Developer Survey data, this tool leverages advanced data science techniques to provide accurate and relevant salary predictions.

SQL-based analysis of global data science jobs, focusing on salary trends, experience levels, job roles, and work settings. The project explores how factors like location, company size, and remote work influence salaries.

This project analyzes global data science salaries using Tableau. It includes interactive visualizations that explore how compensation varies by employee location, experience level, company size, and employment type.

This project provides a detailed analysis of global data science salaries using Python, offering insights into how compensation varies by job role, experience level, company size, and time.