Issued by Coursera Project Network.
Gained hands-on skills in importing, cleaning, and analyzing data using Python.
Used real-world datasets to derive insights that support data-informed business decisions.
Analyzed a large dataset of data professionals covering job satisfaction, remote work, and motivations for switching roles.
Used Excel for data wrangling and Power BI for visualization.
Generated actionable insights on salary expectations, learning difficulty, and work-life balance across demographics.
Analyzed a large COVID dataset covering three countires Norway, South Africa and Ghana.
Used SQL for data wrangling and Tableau Public for visualization.
Generated actionable insights on each country.
Created a Tableau dashboard analyzing US Airbnb listings. Examined host behavior, pricing trends, location data, and guest satisfaction
Processed over 80 attributes including geo-data and review metrics.
Designed and deployed a Python-based Desktop Cleaner app with GUI, auto-categorization, undo, logging, archiving, and PyInstaller packaging.
Designed Power BI Career Survey Dashboards to visualize career trends in tech.
Used DAX, custom visuals, and real-time data integration to improve efficiency and strategic decision-making.