I analyzed 3M+ job postings across 161 countries and 93K companies to identify hiring trends, in-demand roles, work-mode patterns, and salary insights.
I used Python for data cleaning and preprocessing, SQL for analysis, and Power BI to build an interactive dashboard.
Key areas...
Retail Sales Data Analysis — SQL
A SQL-based data analysis project focused on exploring retail sales data and extracting meaningful business insights from transactional records.
Key areas covered:
• Data exploration and preparation
• Sales and revenue analysis
• Product and...
A Python-based data analysis project focused on identifying customer churn patterns and understanding the factors associated with customer attrition.
Key areas covered:
• Data cleaning and preprocessing using Pandas
• Exploratory Data Analysis (EDA)
• Churn distribution and...
Financial Analysis Dashboard in Excel
An Excel-based financial analysis project focused on organizing, analyzing, and visualizing financial data to identify important trends and performance patterns.
Key areas covered:
• Data cleaning and organization
• Financial calculations...
