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My Experience with Scaler Neovarsity’s DSML Program – Learnings & Limitations
I pursued the DSML program at Scaler Neovarsity to transition from a Mechanical Engineering and teaching background into Data Science. The curriculum was well-structured, mentorship was strong, and I completed multiple real-world projects. I also earned an MSc in AI & ML through Scaler’s collaboration with Woolf University. However, there are several areas for improvement: * **Placement support** needs to be stronger. Despite consistent performance, I received only an internship offer—**maybe because I come from a teaching background not directly related to software**. I felt that candidates with **2–5 years of software experience and strong performance have better opportunities** through Scaler. * **Projects** should be mandatorily implemented using **OOPs and Low-Level Design (LLD)** practices. * **Deployment** of every major project should be compulsory to ensure end-to-end understanding. * **Portfolio projects** should involve **more complexity and collaborative submission**, resembling real industry teamwork. * The **MSc degree from Woolf University** should be made **UGC-recognized in India** to improve its credibility and utility for job applications. Overall, Scaler Neovarsity is a strong program for learning and transition, but it needs to improve in placement support, project rigor, and academic recognition for broader impact.