I have attended through our college campus. Totally three rounds the first round was Google forms with 30qs of aptitude and technical. The second round was face to face testing your technical skills that you have mentioned in your resume. The will give a paper and ask you to write it. Third and final round was HR round asking about your projects and some mathematical formulas like SI,CI,mean,median,mode etc

TOTAL NUMBER OF ROUNDS: 4 1.PRE PLACEMENT TALK 2. ONLINE MCQ ASSESSMENT 3. TECHNICAL INTERVIEW 4. HR INTERVIEW 1.PRE PLACEMENT TALK: During the pre-placement talk, the team from Finsurge shared valuable insights about the company's ongoing and past projects. They also took the time to clarify our doubts regarding our own placement process, which made the session highly informative and engaging. 2. ONLINE MCQ ASSESSMENT: This round consisted of two sections: 1.Aptitude Section: This section covered a wide range of topics from Quantitative Aptitude, Verbal Ability, and Logical Reasoning. The questions tested numerical problem-solving, comprehension skills, analytical thinking, and reasoning ability. 2.Technical Section: This part assessed core technical knowledge through multiple-choice questions. Topics included DSA (Data Structures and Algorithms), OOPS (Object-Oriented Programming Systems), and prediction of program outputs across multiple programming languages—C, C++, Python, and Java. Additionally, it contained SQL-based questions and some problems in pseudo code to evaluate logical flow and implementation understanding. 3. TECHNICAL INTERVIEW: The panel comprised three members, with each interviewer focusing on a specific area: behavioral assessment, Python programming, and SQL concepts. • Python: I was asked questions on core Python concepts, such as data types, control statements, functions, and object- oriented programming principles. The interview also covered widely used Python libraries, including: • NumPy – concepts like array creation, reshaping, indexing, and vectorized operations. • OpenCV – basic image processing operations and use cases. • Pandas – DataFrame creation, manipulation, filtering, and grouping. • Matplotlib – data visualization techniques, plotting graphs, and customizing charts. Additionally, I was given small coding tasks to solve on the spot, including writing simple Python programs and creating a class for an application of my choice, which tested my ability to apply OOP concepts in real time. • Projects: I was asked to provide a detailed explanation of all the projects I have worked on. This included describing the problem statement, technologies used, my specific role, challenges faced, and how I overcame them. The panel also asked follow-up questions to assess my depth of knowledge and hands-on contribution. • SQL: My understanding of relational database concepts was tested, with questions focused on SQL fundamentals and syntax. Topics covered included WHERE, HAVING, JOIN operations (INNER JOIN, LEFT JOIN, RIGHT JOIN), and UNION. I was also asked to provide real-life examples of how these clauses could be applied in practical scenarios, demonstrating my ability to relate technical knowledge to industry applications. 4. HR INTERVIEW: The HR round was conversational and aimed at understanding my personality, background, and cultural fit for the organization. The questions covered: • Personal Background: Details about my family, schooling, and academic journey. • Academic Interests: Discussion about my favorite subjects and reasons for my interest in them. • Aptitude-based Questions: A few quick problem-solving and logical reasoning questions to assess my on-the-spot thinking and analytical skills. • Soft Skills Assessment: The HR panel observed my communication skills, confidence, and clarity while answering questions. Overall, the HR interview was designed to evaluate both my interpersonal qualities and my problem-solving approach in a relaxed yet evaluative setting.