it was smooth online process and HR was nice too Duration: 20–30 minutes Focus Areas: Background and motivation Interest in the company Salary expectations and notice period Tips: Keep your DS projects ready to summarize in a minute or two. Be clear about your interest in the field (analytics vs ML vs research). Technical Screening Format: Online coding test / take-home assignment / live coding Topics Covered: Programming: Python, R (data wrangling, pandas, list comprehensions) SQL: Joins, window functions, CTEs, aggregations Statistics: Hypothesis testing, distributions, p-values Machine Learning: Model selection, evaluation metrics Examples: Write a SQL query to find the second highest salary. Build a logistic regression model to predict churn.