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HR Analytics Dashboard
Title: HR Analytics Dashboard
Description: Designed an interactive dashboard analyzing employee data — headcount, attrition, department distribution, and tenure — using a sample dataset of [5,000+] records. Built with PivotTables and slicers for filtering by...
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We designed a sleek and intuitive dashboard for Axiom.
A modern AI meeting assistant dashboard designed to turn conversations into actionable insights. We focused on creating a clean layout, clear data visualization, and a frictionless experience for modern teams.
Check out the full case study on our page and let us know your thoughts! 🚀 📩 Collaborate with Us? Contra Odama Studio
Clean work! The dashboard feels easy to navigate without sacrificing the amount of information shown.
This AI receptionist replies to new leads before you can even open your inbox.
Here's the full system:
Lead comes in → n8n picks it up → AI checks business info and writes a personalised response instantly → lead scored as Hot, Warm or Cold → everything saved to Airtable → if they book, Google Calendar updates and confirmation sent automatically → reminders sent → unbooked leads followed up → no-shows chased → past clients reactivated.
And one system serves multiple businesses. Add a new company by adding one row. No rebuilding.
7 workflows running like one always-on front desk.
Would you use this for your business? Comment FRONT DESK below and I'll reach out directly.
N8NaiautomationaireceptionistAI Agent DevelopmentAI AutomationBusiness Workflow AutomationGoogle CalendarGoogle Sheets
Built a 4-page Power BI dashboard analyzing hotel booking performance for AtliQ Grands across 25 properties in 4 Indian cities (Delhi, Mumbai, Bangalore, Hyderabad), covering May–July 2022.
Designed a star schema data model (dim_date, dim_hotels, dim_rooms, fact_booking, fact_aggregated_bookings) and built pages covering Executive Summary, Occupancy, Customer Insights, and a dedicated Caveats page documenting data limitations and QA methodology.
Key finding: weekend occupancy (51.85%) exceeded weekday occupancy (35.92%), and Delhi recorded both the highest occupancy (42.42%) and highest average guest rating (3.8/5).
🔗 GitHub: github.com/firdous-cloud-analyst/AtliQ-Grands-Hospitality-Performance-Dashboard
