In this project, I designed a supply chain logistics & shipping analytics dashboard to evaluate transportation efficiency, disruption risks, and shipment patterns — quantifying a 61.26% disruption rate, 19.36-day average lead time, and 38,520,319 km total distance covered, with air and sea modes showing highest shipment volumes and hurricanes posing the greatest weather-related risk.
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In this project, I developed a data-driven analytical framework to evaluate supplier performance, compliance, and savings from negotiated prices — quantifying 7.97% savings and 82.24% compliance, with top-performing suppliers driving measurable value.
In this project, I developed a data-driven analytical framework to evaluate buyer behaviour and supplier performance within a manufacturing inventory environment.
In this project, I performed a comprehensive pizza sales analysis using SQL for data extraction and transformation, and Power BI for interactive visualization, to assess revenue trends, examine order volume patterns, and identify best-selling pizza categories by revenue contribution and sales quantity.
In this project, I designed and implemented a Power BI–driven product performance dashboard to assess total units sold, compare product demand, and identify high- and low-performing Oraimo products to support data-driven inventory and sales decisions.
In this project, I designed and executed a SQL-driven retail sales analytics model to assess revenue performance, examine customer behavior, evaluate category performance, and uncover seasonal and time-based sales trends.
Workforce Attrition & Retention Analytics Dashboard is a data-driven HR analysis project designed to evaluate employee turnover trends, attrition rates, and workforce demographics.