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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.

What genuinely surprised me was how approachable the mentors were. I remember being completely stuck on my NLP project at 11 PM and my mentor Rohit replied within 20 minutes with a detailed explanation and a code walkthrough. That level of support is something you just don't find anywhere else. The IBM certification attached to the program also opened doors immediately — recruiters recognised it without me having to explain it.

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.

The Project Lab at Codedge is unlike anything I've seen in online education. We worked on an actual demand-forecasting problem sourced from a retail client — not a Kaggle dataset, a real business problem with real constraints. A senior Fractal engineer reviewed my final submission and gave me production-level feedback that I still use in my work today. Fractal reached out through Codedge's placement network, not the other way around.

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.

Seven and a half months. That's all it took to go from no ML background to deploying a recommendation engine that Lenskart now uses in production. The senior engineer code reviews inside the Project Lab were humbling at first — my first submission came back with 40 comments — but that feedback loop accelerated my growth by years. The IBM certification on my resume meant every recruiter already knew the program standard before the first call.