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Hi, I am Fawad, a software engineer and data analyst based in Geneva, working full-time at the United Nations.
💡 I build AI-driven systems and analytics platforms that transform complex data into actionable insights.
What I work on
🧠 AI microservices and data-driven applications
📊 Analytics platforms and decision-support tools
🔌 APIs and data pipelines
🛒 E-commerce systems built for performance and reliability
Tools I use
🐍 Python, 🌐 JavaScript, TypeScript
🗄️ SQL (PostgreSQL, SQLite, NoSQL)
🎨 Figma and Framer for design, prototyping, and product thinking
☁️ Cloud infrastructure
⛷️ In my free time, I love skiing.
Looking forward to connecting! #contraquest
Working at the UN must be sooo interesting!
Yes, I work for UNOCHA, which works in conflict and disasters. Field missions are incredibly rewarding and interesting.
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See exactly what’s driving revenue, where growth is leaking, and which products, channels, and customers deserve more investment.
I developed an e-commerce growth intelligence system around one question:
Where should the business invest next?
Most stores already have plenty of data. The harder problem is understanding what that data means for revenue, marketing spend, products, and customer growth.
So instead of building another dashboard full of charts, I’m structuring the system around decisions.
It brings together signals such as revenue, ROAS, CAC, conversion, product performance, repeat purchases, and retention to identify things like:
which channels deserve more budget, where acquisition is becoming inefficient, which products attract traffic but fail to convert, and where repeat customers are creating stronger value.
The goal isn’t just to answer:
“What happened?”
It’s to answer:
“What should we do next?”
Because the most useful analytics system isn’t the one with the most charts.
It’s the one that makes the next business decision clearer.
Tags: E-Commerce · Marketing Analytics · Data Analytics · Power BI · E-commerce Management
Marketing AnalyticsData AnalysisecommerceeCommerce ManagementMicrosoft ExcelMicrosoft Power BIShopify
Exactly. Analytics becomes much more valuable when it helps businesses make smarter decisions, not just track numbers.
An AI agent that can move money is only useful if it can't move it on its own.
Haia lets people manage their banks, crypto wallets and brokerages from one place, just by saying what they want done.
I built the AI orchestration layer. The interesting design choice wasn't the model. It was deciding where the model is not allowed to act.
→ The agent turns a request into a step by step plan
→ Each step is routed to the right banking API, wallet, chain or brokerage
→ Security and compliance checks run before anything executes
→ The user approves every move, and transactions are signed on their own device It's fully non-custodial.
Zero private keys ever exposed, to us or to the model.
If you're building agents that touch money, health records or anything you can't undo, design the approval step first. Then the AI.
