1. Technical Round 1: Foundational Technical Knowledge
Focus: Core Python skills (data handling, loops), SQL (joins, aggregations), and foundational ML concepts (supervised/unsupervised learning, model evaluation).
Key Topics: Data structures, basic coding questions (often LeetCode easy-medium), data manipulation using libraries like Pandas.
Board Infinity
Board Infinity
+3
2. Technical Round 2: In-depth Project Discussion & Advanced Topics
Focus: Deep dive into past project implementations, technical challenges, and specialized knowledge (e.g., RAG-related, transformers, AWS, or data engineering tools like Spark).
Key Topics: Detailed walkthrough of end-to-end workflows (preprocessing, feature engineering, model selection), and complex scenario-based questions.
AmbitionBox
AmbitionBox
+3
3. HR Round: Behavioral and Cultural Fit
Focus: Behavioral questions, career goals, communication skills, and compensation discussions.
Key Topics: Alignment with company culture, team collaboration, handling conflicts, and passion for analytics.