I specialize in transforming messy data into clean, actionable business insights using advanced Excel, SQL, Power BI, and Python.
- MS Excel:
XLOOKUP,INDEX/MATCH,GETPIVOTDATA, Date Formulas (DATEDIF/NETWORKDAYS), Pivot Tables & Dynamic Dashboards. - Databases & BI: SQL Querying (
JOINs,GROUP BY), Power BI Dashboarding. - Programming: Python (Data cleaning with Pandas).
Sales Performance Dashboard -
https://github.com/Bhavnamohite/Sales-Performance-Dashboard
Developed an interactive Excel dashboard to track and analyze regional sales performance trends.
Cleaned raw transactional datasets, eliminating duplicates and formatting discrepancies to ensure 100% data integrity.
Utilized Pivot Tables, charts, and slicers to provide dynamic, visual insights for stakeholders.
E-commerce Sales MIS Report - https://github.com/Bhavnamohite/Ecommerce-Sales-MIS-Report-Excel Built a structured Management Information System (MIS) report in MS Excel to track daily and monthly e-commerce sales metrics. Implemented complex formulas (INDEX/MATCH, IF statements) to automate data compilation and reduce manual reporting errors.
Employee Performance Dashboard- https://github.com/Bhavnamohite/employee-performance-dashboard Designed a data tracking sheet to evaluate employee KPIs, attendance, and output efficiency. Transformed messy operations data into clean, visual graphs to help streamline workforce evaluation.
Blinkit Retail Analytics Dashboard β (https://github.com/Bhavnamohite/blinkit-retail-analytics-dashboard) Developed an interactive Excel dashboard analyzing βΉ1.2M in quick-commerce revenue across 8,523 product lines to optimize fulfillment outlet performance.Engineered raw datasets by imputing missing values, standardizing inconsistent categorizations, and establishing absolute data integrity. Implemented advanced PivotTables, cross-connected relational slicers, and a unified corporate brand-identity layout to deliver dynamic, recruiter-ready insights on growth timelines and regional store performance.
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