Proficiency in Python, SQL, and data manipulation techniques.
Experience with machine learning models and statistical analysis.
Projects that demonstrate analytical rigor, business impact, and teamwork.
Understanding of consulting and its application in data science.
Tips for Success:
Highlight experience with data-driven decision-making and predictive modeling.
Emphasize projects involving machine learning, data visualization, or business analytics.
Use keywords like "consulting," "data analysis," and "machine learning."
The first round was technicL round based on sql and dynamic programming. The questions were in range of moderate to difficult. The time was around 2 hours which was sufficient for it. The SQL questions were in range of easy to moderate.
Interview was a bit difficult. It was majorly focussed of machine learning skills. They asked about the projects which you have done and the queries related to it. They also asked DSA questions in the interview round.