1. Resume Shortlisting My application was shortlisted based on relevant skills and past project experience. My background in data-driven problem solving, machine learning, and interdisciplinary work aligned with their role requirements. 2. HR Screening Round I had an initial 20-minute call with the HR team where I was asked about: My motivation to join Skilled Sapiens. Key highlights from my academic and project journey. Availability and role preferences. 3. Skill Assessment I was given a task aligned with the role I applied for. In my case, it involved: A predictive modeling challenge. Brief report explaining the methodology, feature importance, and results. This round tested both technical depth and clarity in communication. 4. Technical Interview This round involved a one-on-one discussion with a domain expert. I was asked to: Walk through my recent projects like LoanPredictorPro and MalwareGuard. Solve a live scenario problem using Python and discuss trade-offs in ML models. Share how I approach debugging, model tuning, and version control in real-world setups. 5. Culture Fit Interview A final interview focused on: How I handle collaboration in cross-functional teams. My response to challenges or feedback. How I keep myself updated with trends and new tools. 6. Final Discussion I had a short conversation with one of the founding team members, where we discussed: My long-term career goals. How I could contribute to the growth and experimentation culture at Skilled Sapiens.