Managing logistics operations without clear insights can lead to delays, inefficiencies, and lost revenue. This dashboard is built to give you complete visibility into your transportation performance — all in one place.
A powerful analytics solution that helps you track bookings, delivery performance, delays, and operational efficiency in real time. Designed for clarity and speed, so you can make decisions without digging through raw data.
🔹Monitor on-time vs delayed deliveries instantly
🔹Track booking trends and operational workload over time
🔹Analyze trip efficiency with lead time and distance metrics
🔹Identify peak hours and demand patterns
🔹Evaluate top drivers and most frequent routes/destinations
🔹Compare weekday vs weekend performance
If you want a clean, professional dashboard that turns your logistics data into real operational insights, I can build a custom solution tailored to your business needs.
The PM peak hour heatmap by day is the most actionable view here — you can see Wednesday 3PM spiking immediately without digging through any data. That kind of instant pattern recognition is exactly what operations managers need to plan driver allocation. What industry was this built for?
Appreciate that — that was exactly the goal with that view 🙌
This one was built with a logistics / delivery operations use case in mind. The idea was to help ops managers quickly spot demand spikes (like that Wednesday 3PM peak) and make faster decisions around driver...
I analyzed 3M+ job postings across 161 countries and 93K companies to identify hiring trends, in-demand roles, work-mode patterns, and salary insights.
I used Python for data cleaning and preprocessing, SQL for analysis, and Power BI to build an interactive dashboard.
Key areas analyzed:
• Global hiring demand
• Top job roles by demand
• Remote vs. onsite/hybrid work patterns
• Average salary trends
• Monthly hiring trends
This project helped me turn a large dataset into clear, actionable insights for understanding the global job market.