Portfolio Showcase

 Project 2 : ​WarehouseFlow Operations Dashboard

Key KPIs: 
-Total SKUs
-Picking accuracy
-Order throughput
-Inventory turnover
-Low-stock alerts
-Inventory aging
-Picker productivity
Tools: 
Power BI · 
WMS Analytics · Inventory KPIs · Warehouse Operations
Python

Created a warehouse operations dashboard to track SKU status, outbound orders, picking accuracy, inventory aging, stock availability, and warehouse productivity. The dashboard supports warehouse managers by highlighting low-stock items, out-of-stock risks, inventory aging problems, zone productivity, and picker performance.

 Project 3 : ​RouteOptix Transport Analytics

Key KPIs: 
-​Freight spend
-OTIF rate
-Average delay days
-Cost per shipment
-Total shipments
-Delayed deliveries by route
-Average lead time by carrier
Tools: 
Power BI · 
Logistics Analytics · Transport KPIs · 
TMS Reporting
Python

Developed a transport cost and delivery performance dashboard to analyze freight spend, carrier performance, route delays, shipment status, and delivery efficiency. The dashboard helps logistics teams compare carriers, identify high-cost lanes, monitor delayed routes, and improve transport planning decisions.

 Project 4: ​ProcureWise Spend Analytics

Key KPIs: 
-Total spend
-Purchase orders
-Cost savings
-Supplier compliance
-PO cycle time
-Price variance
-Contract vs spot purchases
Tools: 
Tableau · Procurement Analytics · 
Spend Analysis · Supplier KPIs
Python

Built a procurement and spend intelligence dashboard to monitor supplier spend, purchase orders, cost savings, supplier compliance, price variance, and PO cycle time. The dashboard supports procurement teams in supplier negotiation, spend control, contract monitoring, and purchasing performance improvement.

 Project 5 : ​PlanSync Supply Chain Control Tower

Key KPIs: 
-​Forecast accuracy
-Fill rate
-Backorders
-Revenue at risk
-Demand by region
-Forecast bias
-Replenishment recommendations
Tools: 
Python · 
Forecasting 
Supply Chain Planning ·
 Power BI

Designed a demand, forecast, and fulfillment dashboard to monitor forecast accuracy, fill rate, backorders, replenishment needs, and revenue at risk. The dashboard helps planning teams anticipate stock issues, prioritize replenishment actions, evaluate forecast bias, and improve fulfillment reliability.

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