Guidance for Transitioning to GTM Engineering in Data Science

Hi everyone 👋 I’m a final-year Data Science student and currently working as a Lead Generation Executive, where my work mainly involves lead research, data enrichment, and outbound workflows. I’m now seriously considering a career transition into GTM engineering, as I enjoy working at the intersection of data, automation, and sales systems. I’ve recently started exploring tools like Clay, and I’m trying to build a strong foundation in this space. I’d really appreciate your guidance on where to start: What would a practical learning roadmap look like for someone in my position, and are there any specific tools, projects, or free resources you’d recommend focusing on early while preparing for an entry-level or junior GTM Engineer role? Thanks a lot, looking forward to learning from the community 🙌