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.