Description
Can you elaborate on the personal projects you've worked on and your past experiences in this field?
1. Self-assessment : Ability to critically assess and articulate your own work, learnings, and accomplishments.
2. Technical proficiency : Showcasing depth in technical skills and knowledge, especially related to machine learning or relevant intern work.
3. Problem-solving : Demonstrating the ability to tackle complex problems through past projects and experience.
4. Relevance of experience : Ability to connect past experiences with the potential role and show how they are pertinent.
1. Understanding of fundamentals : Gauging the candidate's grasp of core concepts through the application in personal projects.
2. Passion and initiative : Evaluating if the candidate has the drive and interest in the field as evidenced by personal or academic projects.
3. Cultural and role fit : Determining if the candidate's experience aligns with the team and company culture, as well as role expectations.
4. Problem-solving approach : Understanding the approach and methods the candidate employs to deal with challenges in their projects.
1. Highlight unique contributions : Discuss what individual inputs you made in your projects that showcase your abilities and creativity.
2. Quantify achievements : Use data or metrics to illustrate the impact or scale of your work and results.
3. Relate to the role : Tailor your explanation to relate your past experiences and projects to the role you are interviewing for.