Zepto Sales Data Cleaning & Analysis Processed and transformed raw Zepto sales data into a clean ...

Zepto Sales Data Cleaning & Analysis Processed and transformed raw Zepto sales data into a clean ...Zepto Sales Data Cleaning & Analysis Processed and transformed raw Zepto sales data into a clean ...

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Vimmy Verma

• 9h

Zepto Sales Data Cleaning & Analysis

Processed and transformed raw Zepto sales data into a clean and well-organized Excel dataset. The project focused on correcting inconsistencies, formatting data, and preparing it for accurate analysis.

Excel features used: Text to Columns, Replace, UPPER/LOWER/PROPER, Paste Special, IF Function, and Pivot Tables.

The cleaned data was then analyzed to identify brand-wise loss insights, turning unstructured sales records into clear and useful business information.

Web Scraping Data Visualization Data Analysis Microsoft Excel

Qudratullah Hashimi

• Sep 20

Excel Data Entry & Financial Records

I provide accurate and organized Excel data entry and financial record management services.

✅ Excel data entry

✅ Financial records

✅ Data organization

✅ Expense & income tracking

✅ Basic reporting

If you need clean and organized financial data, feel free to contact me.

LinkedIn Microsoft Excel Bookkeeping Data Analysis Data Entry Google Sheets Microsoft Word

Sohaib Akram

• Sep 20

Dashboard Key Highlights:

Total Performance: Total Revenue of $5,468 and Gross Profit of $2,313 with an overall profit margin of 42.3%.

Top Profit Contributor: Product D yields the highest gross profit at $1,548 (54.3% of total profit) and revenue of $2,808 (51.4% of total sales).

Highest Margin Product: Product A leads in efficiency with a 66.7% profit margin ($540 profit on $810 sales).

Data Analysis Data Visualization Financial Analysis Microsoft Excel Python

Subhangi Shreya

• Sep 19

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 analyzed: • Global hiring demand • Top job roles by demand • Remote vs. onsite/hybrid work patterns • Average salary trends • Monthly hiring trends

This project helped me turn a large dataset into clear, actionable insights for understanding the global job market.

Completed work