• Cleaned and standardized raw sales data across multiple fields
• Calculated final amounts after discounts and shipping costs
• Created daily and monthly sales summaries
• Identified top and low performing products
• Analyzed region-wise and salesperson-wise performance
• Built Excel-based reports for business decision-making
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5
This project focuses on compiling, cleaning, and organizing structured data on loss-making late-stage Indian startups.
I created a well-formatted Excel dataset containing key business details such as startup name, industry, year founded, founders, total funding raised, latest funding stage, official website, and LinkedIn profile. The data was standardized, validated, and organized for clarity and easy analysis.
This dataset can be used for market research, startup ecosystem analysis, investment studies, or business insights. Proper formatting, consistent naming, and clear categorization were applied to ensure the data is accurate, readable, and analysis-ready.
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7
This project involved cleaning and organizing a raw Excel sales dataset to make it accurate and analysis-ready.
I removed duplicate records, corrected data entry errors, standardized formats (dates, text, and numbers), and structured the data for better readability. After cleaning, I created basic sales analysis and visualizations, including age-wise sales distribution and order status breakdown, to help understand customer behavior and delivery performance.
The final output was a clean, well-formatted Excel file with clear insights that can be easily used for reporting and decision-making.