Power BI dashboard analyzing FMCG retail sales, inventory replenishment risk, demand patterns, store performance, and customer segments.
A Django-based inventory management system featuring stock monitoring, purchase order management, automated inventory analytics, and interactive dashboards.
Automated management reporting solution that streamlines sales reporting, inventory monitoring and operational KPI tracking using Excel.
End-to-end Retail Sales & Inventory Analytics project using SQL, Python, and Power BI featuring RFM segmentation, ABC inventory analysis, sales forecasting, and interactive dashboards.
Retail analytics and BA portfolio project using SQL Server, Power BI, Jira, Confluence, and Draw.io to analyze sales, profitability, store performance, and inventory risk.
Operational supply chain analytics project using SQL and Python to analyze demand trends, procurement activity, delivery performance, inventory classification, and operational KPIs.
Power BI category performance analysis: revenue, margin, demand segments, promotions and finished-goods inventory (AdventureWorks sample data)
SQL analysis of Zepto's product inventory (3,732 rows) — pricing, stock & category insights using MySQL.
SQL-based business analytics project using Google BigQuery on the AdventureWorks2019 dataset, delivering insights across Sales, Production, and Purchasing, including YoY growth, territory ranking, customer retention, inventory trends, and stock efficiency.
Find the best Cardmarket sellers for your Magic: The Gathering buylist. Cardmarket Seller Finder analyzes carts, seller inventories, prices, shipping, and seller reliability to help MTG buyers optimize purchases faster
End-to-end SQL and Power BI project analysing product performance, inventory demand, customer segmentation, geographic markets and historical customer lifetime value, with interactive dashboards and acquisition investment scenarios to support data-driven business decisions.
End-to-end retail analytics project analyzing sales performance, inventory health, and product profitability using Python and Power BI.
SQL-based analysis of Zepto e-commerce inventory data using PostgreSQL, covering data cleaning, pricing, discounts, inventory and revenue insights.
SQL analysis of Zepto's product catalogue — data cleaning, exploration & business insights using PostgreSQL.
End-to-End Supply Chain Analytics Dashboard using SQL, Python, and Power BI. Analyzed inventory, supplier performance, logistics costs, shipping efficiency, and profitability KPIs through interactive business intelligence dashboards.
An end-to-end Zepto product analytics project using MySQL, transforming 3,723 product records across 14 categories into business insights through data cleaning, pricing and discount analysis, customer savings, ₹/100g value analysis, inventory and out-of-stock analysis, category benchmarking, advanced SQL techniques, and strategic recommendations.
End-to-end supply chain analytics project using MySQL, SQL, DAX, and Power BI to analyze sales, inventory, procurement, supplier reliability, logistics, and financial efficiency.
End-to-end supply chain analytics project covering vendor performance, procurement, inventory, sales, logistics, profitability, and operational efficiency.
SQL-based inventory and sales analysis project on Zepto product data
Vendor performance and inventory analysis using Python, SQL, and SQLite to evaluate profitability, pricing, sales, and inventory metrics.
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