Project Portfolio
Visitor Management System - Full Stack Automation
Designed and built a full-stack visitor management system using Power Apps, Python, MySQL, and Power BI.
Cost Savings
$1,500/year
Manual Work Reduced
~80%
Visitor Management System - Full Stack Automation
Designed and built a full-stack visitor management system using Power Apps, Python, MySQL, and Power BI.
Cost Savings
$1,500/year
Manual Work Reduced
~80%
Analyzing Global Port Congestion
Analyzed global maritime operations to identify key drivers of port congestion using Python, SQL, and Tableau, focusing on vessel capacity, fleet characteristics, and regional performance.
Avg Port Time
0.95 Days
Max Port Time
1.98 Days
Analyzing Global Port Congestion
Analyzed global maritime operations to identify key drivers of port congestion using Python, SQL, and Tableau, focusing on vessel capacity, fleet characteristics, and regional performance.
Avg Port Time
0.95 Days
Max Port Time
1.98 Days
Retail Sales Analytics with Automated Insights
Analyzed retail transaction data using Python, SQL, and Power BI to uncover revenue drivers, product dependencies, and geographic concentration risks. Built an automated analysis pipeline to generate scalable, business-ready insights across global markets.
Revenue Analyzed
$8.9M
Markets Covered
37
Retail Sales Analytics with Automated Insights
Analyzed retail transaction data using Python, SQL, and Power BI to uncover revenue drivers, product dependencies, and geographic concentration risks. Built an automated analysis pipeline to generate scalable, business-ready insights across global markets.
Revenue Analyzed
$8.9M
Markets Covered
37
Supply Chain Analysis: Shipping Delays & Cost Impact
Analyzed global supply chain operations using SQL, Python, and Tableau to identify inefficiencies in shipping performance and delivery delays.
Developed KPI-driven analysis to uncover cost drivers, evaluate shipping mode effectiveness, and quantify the financial impact of late deliveries across regions.
Late Deliveries
57%
Estimated Cost Impact
$313K+
Supply Chain Analysis: Shipping Delays & Cost Impact
Analyzed global supply chain operations using SQL, Python, and Tableau to identify inefficiencies in shipping performance and delivery delays.
Developed KPI-driven analysis to uncover cost drivers, evaluate shipping mode effectiveness, and quantify the financial impact of late deliveries across regions.
Late Deliveries
57%
Estimated Cost Impact
$313K+