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LeadFlow — AI Lead Management & Automation
AI-powered lead management system that scores incoming leads, automates follow-ups, and connects the sales workflow across multiple services.
@Talha Bilal Connecting Gemini-based lead scoring with n8n follow-ups sounds practical. How do you handle score changes when new activity arrives from different sales services?
We treat each new activity as an event rather than keeping the lead score static. When new data comes in, the workflow updates the lead context, runs the scoring again, and compares it with the previous score. If the score crosses a threshold or the intent changes, n8n triggers...
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📱 Your app deserves more than a basic landing page.
Meet Appvibes — a modern Framer template built to showcase mobile apps with bold visuals and smooth interactions.
Ready to launch.
Framer preview: https://appvibes.framer.ai/
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AI Fashion Product Video | Apparel Advertising & E-commerce Video
I designed a Business Intelligence and financial reporting solution that transforms scattered data from multiple sources into centralized, validated, and decision-ready information.
The solution automates the complete reporting workflow: connecting and consolidating data, cleaning and standardizing information, applying business rules, building a structured data model, calculating financial KPIs, and generating executive dashboards and recurring reports.
Instead of manually combining spreadsheets and preparing reports every reporting period, the workflow creates a repeatable data pipeline that reduces manual work while improving consistency, traceability, and visibility.
Key capabilities include:
Multi-source data consolidation
Automated ETL and data transformation
Data validation and quality controls
Power Pivot data modeling
Financial KPI calculations
Interactive executive dashboards
Automated and scheduled reporting
Exception and duplicate detection
Audit trails and process traceability
Technologies: Excel, Power Query, Power Pivot, VBA, DAX, SQL/CSV data sources and automated reporting workflows.
The goal of the project is not simply to create a dashboard, but to build the automated data process behind it — turning raw information into reliable insights that can support faster business decisions.
All information, companies and metrics displayed in this case study are fictional demo data created exclusively for portfolio purposes.
