Freelancer Data Science Intern interview questions

Round 1: Initial Screen (Recruiter/HR) Goal: Behavioral fit and resume verification. Tip: Be ready to talk about your SRM projects (like the Attendance System) and why you chose Data Science. Round 2: Online Technical Assessment (OA) Format: 60–90 minutes on platforms like HackerRank or LeetCode. Content: SQL (Joins/Window Functions), Python (Data Wrangling with Pandas/NumPy), and basic Statistics. Round 3: Technical Interview (Live Coding & ML) Format: 1:1 with a Data Scientist. Focus: Deep dive into ML algorithms (SVM, Random Forest, etc.) and coding a logic problem from scratch. Round 4: Case Study / Business Intuition Goal: Can you solve a real problem? Example: "We have a 10% drop in user retention this month. What data do you look at to find out why?" Round 5: Final Behavioral (Leadership/Culture) Goal: Checking collaboration skills using the STAR method (Situation, Task, Action, Result).