I was asked about my final year project (UPI fraud detection using ML), Java concepts (OOPs, encapsulation, access specifiers), and basic SQL queries.
They also asked scenario-based questions related to real-time data handling and how I would optimize or validate results.I was asked about my final year project (UPI fraud detection using ML), Java concepts (OOPs, encapsulation, access specifiers), and basic SQL queries.
They also asked scenario-based questions related to real-time data handling and how I would optimize or validate results.
Questions d'entretien [1]
Question 1
One key question they asked me was to explain my final year project in detail — how it works, what technologies I used, and what role I played. Since my project was on UPI fraud detection using machine learning, they were curious about how I handled data processing, which ML algorithm I used (CNN), and how I validated the fraud detection. They also asked how I would implement this in a real-time system — so they were clearly looking at how practically I can apply technical concepts.
Good it was very good interview very good very good first was online assessment then technical interview then technical interview 2 then managerial round then hr round overall good process
The interview process consisted of multiple rounds including an aptitude assessment, technical screening, and HR interview. The interviewers focused on communication skills, problem-solving ability, academic projects, and basic technical concepts. The overall process was well organized, professional, and helped evaluate both technical and interpersonal skills effectively.
Totally 5 rounds first tech+ no tech and a round for language and the will call you for a interview followed by HR interview Mostly they will ask you to explain your project