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Before Codedge I was doing data entry work. The Masters in Artificial Intelligence program completely changed my trajectory — the live project on customer churn prediction for an e-commerce company gave me something concrete to show in interviews. Within 7 months I was writing production ML pipelines at GoKwik. That 250% hike felt unreal the day the offer letter landed.

I had zero technical background when I started. The Great Pyramid framework at Codedge made the learning path crystal clear — every level had a specific outcome and I always knew what I was building toward. The live cybersecurity lab where we simulated real penetration testing scenarios was the highlight. Jobsite hired me specifically because of that project portfolio.

"From backend developer to ML Engineer at NinjaCart in under 8 months — and the defining moment was the AI Sandbox project where I built a real-time demand forecasting model. Watch how the live projects at Codedge created a portfolio that spoke for itself."

The placement team at Codedge is genuinely invested in you. They prepped me for all three Affirm rounds — mock interviews, resume ATS optimisation, even the right way to frame my projects for a US-headquartered company. The written job guarantee was not a marketing line — they followed through on every single commitment.

Sales to Data Science in 7 months sounds like a LinkedIn exaggeration but for me it was just the Codedge curriculum working exactly as promised. The fraud-detection model I built during the Project Lab module became my flagship portfolio piece — Suncast Systems hired me specifically because I could explain the business impact of my model, not just the technical implementation.

Bosch's interview panel specifically asked me to walk through my Codedge project — an IoT data pipeline with anomaly detection. The dual-track combining Full Stack engineering with AI is something I haven't seen anywhere else. My mentor helped me refactor that project three times until it was truly production-grade. That rigour is what got me across the line.