Application Process: Applied through campus placement.
Interview Rounds:
Round 1 - HR Interview:
Questions Asked: The interviewer mentioned that the position was already filled and the interview was being conducted for future reference.
Your Approach: Despite the unprofessionalism, I remained composed and answered the questions to the best of my ability.
Outcome: The round felt more like a formality, and the interviewer did not provide any constructive feedback.
Preparation Tips:
Be prepared for unexpected delays or unprofessional behavior during the interview process.
Stay calm and professional, regardless of the interviewer’s demeanor.
Conclusion:
The overall experience was disappointing due to poor organization and lack of professionalism from the interview panel. The HR team’s coordination was also lacking, as I received redundant communications. Future candidates should be mentally prepared for such scenarios and focus on maintaining their composure.
Application Process: Applied through campus placement.
Interview Rounds:
Round 1 - Technical Interview:
Questions Asked: SQL queries, basic Python coding questions, and detailed discussion about ML projects mentioned in the resume.
Your Approach: Prepared SQL queries beforehand and revised Python basics. Focused on explaining ML projects clearly, emphasizing my role and the outcomes.
Outcome: Cleared the round successfully.
Round 2 - Technical Interview:
Questions Asked: More advanced SQL scenarios, Python problem-solving, and deeper questions about data analytics techniques.
Your Approach: Practiced complex SQL joins and subqueries. For Python, focused on data manipulation tasks. Highlighted my certification in data analytics during the discussion.
Outcome: Advanced to the next round.
Round 3 - HR Interview:
Questions Asked: Behavioral questions, career goals, and why I wanted to join Latentview.
Your Approach: Kept answers concise and aligned with the role. Showed enthusiasm for the company and the internship.
Outcome: Received positive feedback and an offer.
Preparation Tips:
Revise SQL thoroughly, especially joins and subqueries.
Brush up on Python basics, particularly data manipulation libraries like Pandas.
Be prepared to discuss any ML projects in detail.
A data analytics certification can give you an edge.
Conclusion:
Overall, the interview process was smooth and focused on technical skills. Being thorough with my resume and having a strong foundation in SQL and Python helped. For future candidates, I’d recommend practicing real-world SQL problems and being confident about your projects.
Application Process: We were informed by our college placement cell that Latentview would be hiring from our campus. They conducted an aptitude test first, after which they shortlisted around 30 students out of 400+ applicants.
Interview Rounds:
Round 1 - Aptitude Test:
Questions Asked: The test included quantitative aptitude, logical reasoning, and verbal ability questions.
Your Approach: I focused on solving the quantitative and logical reasoning sections first, as they were my strengths, and then moved on to the verbal section.
Outcome: I was among the 30 students shortlisted for the next round.
Preparation Tips:
Brush up on basic aptitude topics like percentages, ratios, and logical puzzles.
Practice time management to ensure you can attempt all sections within the given time.
Conclusion:
The process was smooth, and the aptitude test was fair. I would advise future candidates to practice regularly and stay calm during the test.
Application Process: I applied through my college. The entire process was completed in a single day.
Interview Rounds:
Round 1 - Aptitude Test:
Questions Asked: General aptitude questions covering quantitative, logical, and verbal reasoning.
Your Approach: I focused on solving the questions quickly and accurately, prioritizing the ones I was confident about.
Outcome: Cleared this round, and 70 students were shortlisted for the next round.
Round 2 - Group Discussion (GD):
Questions Asked: Topics related to daily issues and current affairs.
Your Approach: I actively participated, shared my views clearly, and listened to others to build on their points.
Outcome: Made it through, and the list was narrowed down to 22 students.
Round 3 - Technical Interview 1:
Questions Asked: Questions about data analysis, basic statistics, and problem-solving scenarios.
Your Approach: I explained my thought process step-by-step and used examples to illustrate my points.
Outcome: Cleared this round successfully.
Round 4 - Technical Interview 2:
Questions Asked: More in-depth questions on business analysis, case studies, and data interpretation.
Your Approach: I structured my answers logically and linked them to real-world applications.
Outcome: Passed this round as well.
Round 5 - HR Interview:
Questions Asked: Questions about my background, strengths, weaknesses, and why I wanted to join Latentview.
Your Approach: I answered honestly, highlighted my skills, and aligned my responses with the company’s values.
Outcome: Cleared the HR round, and finally, 4 students were selected, including me.
Preparation Tips:
Practice aptitude tests regularly to improve speed and accuracy.
Stay updated with current affairs for GD rounds.
Brush up on basic statistics, data analysis, and problem-solving techniques for technical rounds.
Prepare for HR questions by reflecting on your experiences and how they align with the role.
Conclusion:
The entire process was intense but well-organized. I felt confident because I had prepared thoroughly. My advice to future candidates is to stay calm, be clear in your communication, and practice as much as possible. Good luck!
Application Process: The application was part of the campus placement process at my university.
Interview Rounds:
Round 1 - Aptitude Round:
Questions Asked: The round consisted of quantitative aptitude, logical reasoning, and verbal ability questions.
Your Approach: I focused on time management and prioritized questions I was confident about first.
Outcome: Cleared the round successfully.
Round 2 - Group Discussion:
Questions Asked: We were given a case study related to a business scenario and asked to discuss potential solutions.
Your Approach: I actively participated, listened to others, and structured my points logically.
Outcome: Advanced to the next round.
Round 3 - Game-Based Assessment:
Questions Asked: This round involved solving puzzles and strategy-based games to assess problem-solving skills.
Your Approach: I stayed calm and thought through each problem methodically.
Outcome: Qualified for the technical rounds.
Round 4 - Technical Interview (Part 1):
Questions Asked: Questions covered SQL queries, basic statistics, and a case study analysis.
Your Approach: I explained my thought process clearly and used examples to illustrate my answers.
Outcome: Moved to the second technical round.
Round 5 - Technical Interview (Part 2):
Questions Asked: More in-depth questions on data analysis, business scenarios, and a few behavioral questions.
Your Approach: I linked my answers to real-world applications and stayed concise.
Outcome: Cleared the round and proceeded to the HR round.
Round 6 - HR Interview:
Questions Asked: Typical HR questions about my background, strengths, weaknesses, and why I wanted to join Latentview.
Your Approach: I was honest, kept my answers professional, and aligned them with the company’s values.
Outcome: Received positive feedback and an offer for the internship.
Preparation Tips:
Brush up on aptitude topics like quantitative ability and logical reasoning.
Practice case studies and group discussions to improve articulation and teamwork.
Revise SQL and basic statistics for the technical rounds.
Prepare for behavioral questions by reflecting on past experiences.
Conclusion:
The entire process was well-structured and tested a variety of skills. I felt confident in my preparation, but I could have practiced more case studies to improve my analytical responses. My advice to future candidates is to stay calm, think logically, and be yourself during the interviews.
Application Process: I applied through my college’s campus placement process. The company visited our campus for recruitment, and I was shortlisted based on my resume and academic performance.
Interview Rounds:
Round 1 - Written Test (Aptitude):
Questions Asked: The test included quantitative aptitude, logical reasoning, and data interpretation questions. Some topics covered were percentages, ratios, time and work, and puzzles.
Your Approach: I practiced aptitude questions from various online resources and previous placement papers. During the test, I focused on accuracy and managed my time effectively.
Outcome: I cleared this round and was selected for the next round.
Round 2 - Maths-Related Interview:
Questions Asked: The interviewer asked me to solve problems related to probability, statistics, and basic algebra. They also gave me a case study to analyze and derive conclusions.
Your Approach: I stayed calm and explained my thought process step-by-step. For the case study, I structured my approach by breaking it down into smaller parts.
Outcome: The interviewer seemed satisfied with my answers, and I moved to the next round.
Round 3 - Technical Interview:
Questions Asked: Questions revolved around SQL queries, data analysis, and basic programming concepts. They also asked about my understanding of business analytics and how I would approach a given dataset.
Your Approach: I revised SQL and data analysis concepts beforehand. During the interview, I gave clear and concise answers, and for the dataset question, I walked through my analysis methodically.
Outcome: I performed well and was selected for the final HR round.
Round 4 - HR Interview:
Questions Asked: Typical HR questions like “Tell me about yourself,” “Why do you want to join Latentview?” and “Where do you see yourself in 5 years?” They also asked about my strengths and weaknesses.
Your Approach: I prepared answers in advance and kept them honest and professional. I highlighted my interest in business analytics and how it aligns with the company’s work.
Outcome: The HR round went smoothly, and I received positive feedback.
Preparation Tips:
Practice aptitude questions regularly, especially topics like percentages, ratios, and puzzles.
Brush up on basic maths concepts, including probability and statistics.
Revise SQL and data analysis techniques, as they are crucial for technical rounds.
Prepare for HR questions by reflecting on your experiences and career goals.
Conclusion:
The overall interview process was well-structured and challenging. I felt prepared for most rounds, but I could have practiced more case studies for the maths round. My advice to future candidates is to focus on clarity of thought and stay confident throughout the process. Good luck!
Application Process: It was an on-campus opportunity.
Interview Rounds:
Round 1 - Group Discussion:
Details: About 10 students participated, and only 5 were selected to proceed to the interview round.
Outcome: Successfully advanced to the next round.
Round 2 - Technical Interview:
Questions Asked:
Easy-level SQL questions.
Basic DSA concepts.
Sorting techniques.
Your Approach: Focused on explaining the logic clearly and efficiently. For SQL, ensured queries were optimized. For DSA, walked through the problem-solving steps methodically.
Outcome: Cleared the round and received positive feedback.
Preparation Tips:
Brush up on basic SQL queries and optimization techniques.
Revise fundamental DSA concepts, especially sorting algorithms.
Practice explaining your thought process clearly during problem-solving.
Conclusion:
The overall experience was smooth, and the interviewers were supportive. I could have practiced more SQL edge cases to be even more confident. For future candidates, focus on clarity and logic in your answers, and don’t overlook the basics!
Application Process: Applied through campus placement. The process was rigorous and involved multiple rounds to assess domain knowledge, problem-solving skills, and technical expertise.
Interview Rounds:
Round 1 - Group Discussion:
Questions Asked: Discussed a business case related to data understanding and proposed solutions. The topic revolved around leveraging data for business growth.
Your Approach: Focused on active participation, clear articulation of ideas, and collaboration with the group. Tried to bring a structured approach to the discussion.
Outcome: Successfully cleared the round by contributing meaningfully to the discussion.
Round 2 - Technical Interview:
Questions Asked: Questions on Tableau, Python, and ML concepts. Also, a deep dive into a business case requiring data-driven solutions.
Your Approach: Explained concepts clearly, used examples to illustrate points, and demonstrated problem-solving skills for the business case.
Outcome: Advanced to the next round with positive feedback on technical clarity.
Round 3 - Subjective Knowledge on ML Topics:
Questions Asked: In-depth questions on machine learning topics, real-world applications, and how to handle specific business scenarios using ML.
Your Approach: Linked theoretical knowledge to practical applications, shared personal projects or examples where applicable.
Outcome: Cleared the round by showcasing a strong understanding of ML concepts.
Round 4 - Final HR Interview:
Questions Asked: Behavioral questions, career goals, and alignment with the company’s values.
Your Approach: Stayed honest and enthusiastic, aligned my answers with the company’s culture and role requirements.
Outcome: Received the internship offer!
Preparation Tips:
Brush up on Tableau and Python, especially data manipulation and visualization.
Practice solving business cases with a data-driven approach.
Revise ML concepts and their real-world applications.
Participate in mock group discussions to improve communication and collaboration skills.
Conclusion:
The interview process was challenging but rewarding. The key was to stay calm, articulate thoughts clearly, and demonstrate a balance of technical and business acumen. For future candidates, focus on understanding the practical applications of your knowledge and practice case studies thoroughly.
Application Process: Applied through campus placement.
Interview Rounds:
Round 1 - Written Round:
Questions Asked: CAT-type paper with 40 questions to be solved in 60 minutes. Topics included quantitative aptitude, logical reasoning, and verbal ability.
Your Approach: Focused on speed and accuracy, prioritizing easier questions first to maximize the number of attempts.
Outcome: Cleared the round successfully.
Round 2 - Interview (Puzzles and Estimations):
Questions Asked: Puzzles and Fermi questions (estimation-based problems).
Your Approach: Tried to break down the problems logically and used approximations for estimation questions. Stayed calm and communicated thought process clearly.
Outcome: Performed well and advanced to the next round.
Round 3 - Interview (Technical and HR):
Questions Asked: Basic C programming questions followed by HR discussion about interests, strengths, and fit for the role.
Your Approach: Revised basic C concepts beforehand and answered HR questions honestly, highlighting relevant skills and enthusiasm for the role.
Outcome: Cleared the final round and received the internship offer.
Preparation Tips:
Practice CAT-level questions for the written round to build speed and accuracy.
For puzzles and estimations, practice logical reasoning problems and familiarize yourself with Fermi questions.
Brush up on basic programming concepts, especially if the role involves technical aspects.
Prepare for HR questions by reflecting on your strengths, weaknesses, and motivation for the role.
Conclusion:
Overall, the interview process was well-structured and tested both analytical and communication skills. Staying calm and thinking aloud during the puzzle round helped a lot. For future candidates, focus on speed in the written round and clarity of thought during interviews. Good luck!
Application Process:
The recruitment process duration varies depending on the candidate’s capabilities and the availability of vacancies. The company is known for conducting recruitment drives periodically. The process can range from as short as 1 week to up to 2 months. The initial stages involve basic aptitude tests, puzzles, and guestimation questions in the interviews. Candidates should also be prepared for some unconventional or unexpected questions in the second round of interviews.
Interview Rounds:
Round 1 - Written Test:
Questions Asked: Basic aptitude questions, puzzles, and guestimation problems.
Your Approach: Focused on solving the aptitude questions quickly and accurately, while also practicing puzzles and guestimation techniques beforehand.
Outcome: Successfully cleared the written test.
Round 2 - Technical/Problem-Solving Interview:
Questions Asked: A mix of technical questions related to business analysis, along with some unconventional or oddball questions to test problem-solving skills.
Your Approach: Stayed calm and logical while tackling the oddball questions, and applied structured thinking to the technical ones.
Outcome: Cleared the round by demonstrating analytical and problem-solving abilities.
Preparation Tips:
Practice basic aptitude questions and puzzles regularly.
Work on guestimation techniques to improve accuracy.
Be prepared for unexpected questions and stay adaptable during interviews.
Conclusion:
The overall experience was challenging but rewarding. The key to success was staying calm and thinking logically, especially during the unconventional questions. Future candidates should focus on building a strong foundation in aptitude and problem-solving skills, and be ready for surprises in the interview process.
Explain the difference between supervised and unsupervised learning.
How would you handle missing data in a dataset?
Describe a time when you used data analysis to solve a problem.
Your Approach:
For the first question, I provided definitions and examples for both types of learning.
For the second question, I discussed techniques like imputation and deletion.
For the third question, I shared a project where I analyzed sales data to identify trends.
Outcome: Passed this round.
Round 2 - Case Study Interview:
Questions Asked:
A company wants to reduce customer churn. How would you approach this problem?
Analyze a given dataset to identify key insights.
Your Approach:
For the first question, I outlined steps like identifying churn reasons, segmenting customers, and proposing retention strategies.
For the second question, I used descriptive statistics and visualizations to highlight trends.
Outcome: Passed this round.
Round 3 - HR Interview:
Questions Asked:
Tell me about yourself.
Why do you want to work at Latentview?
Describe a challenging situation and how you handled it.
Your Approach:
I kept my introduction concise and relevant to the role.
I highlighted my interest in data analysis and the company’s reputation.
I shared a teamwork challenge and how collaboration resolved it.
Outcome: Received positive feedback and moved forward.
Preparation Tips:
Brush up on basic data analysis concepts and techniques.
Practice case studies to improve problem-solving skills.
Be ready to discuss past projects and their impact.
Conclusion:
The interview process was well-structured and focused on both technical and analytical skills. I felt prepared for the technical rounds but could have practiced more case studies beforehand. My advice to future candidates is to focus on real-world applications of data analysis and stay confident during the HR round.
Application Process: The application was part of the campus placement process. The selection included four rounds: aptitude and verbal, followed by two technical rounds, and finally an HR round.
Your Approach: I focused on solving the quantitative and logical reasoning questions first, as they were my strengths, and then moved on to the verbal section. I made sure to manage my time efficiently to attempt all questions.
Outcome: Cleared the round successfully.
Round 2 - Technical Round 1:
Questions Asked: Basic questions about data analysis, SQL queries, and some case studies related to business scenarios.
Your Approach: I revised SQL concepts beforehand and practiced writing simple queries. For the case studies, I tried to structure my answers logically, focusing on problem-solving and business impact.
Outcome: Advanced to the next round.
Round 3 - Technical Round 2:
Questions Asked: More in-depth questions on data analysis, including how to handle missing data, basic statistical concepts, and another business case study.
Your Approach: I built on my previous round’s performance, ensuring I explained my thought process clearly. For the case study, I used a step-by-step approach to analyze the problem and suggest solutions.
Outcome: Cleared this round as well.
Round 4 - HR Round:
Questions Asked: Typical HR questions like “Tell me about yourself,” “Why do you want to join Latentview?” and situational questions about teamwork and challenges.
Your Approach: I prepared answers for common HR questions and kept my responses concise and genuine. I also highlighted my interest in business analysis and how my skills align with the role.
Outcome: Received positive feedback and was selected for the internship.
Preparation Tips:
Brush up on basic aptitude topics like quantitative ability and logical reasoning.
Practice SQL queries and understand basic data analysis concepts.
Prepare for case studies by thinking about real-world business problems and how you would approach them.
For the HR round, be ready to talk about your strengths, weaknesses, and why you’re interested in the role.
Conclusion:
Overall, the interview process was smooth, and the questions were basic but required clarity of thought. I felt that performing well in the earlier rounds set a positive tone for the later ones. For future candidates, I’d recommend focusing on fundamentals and practicing case studies to build confidence.
Application Process: I applied for this role through my college’s campus placement program. The process began with a written test, which had around 60 questions and included negative marking.
Interview Rounds:
Round 1 - Written Test:
Questions Asked: The test consisted of approximately 60 questions covering topics like quantitative aptitude, logical reasoning, and basic business analysis concepts.
Your Approach: I focused on accuracy due to the negative marking and prioritized questions I was confident about. I also managed my time carefully to ensure I could attempt all sections.
Outcome: I cleared this round and was shortlisted for the next stage.
Round 2 - Technical Interview:
Questions Asked: The interviewer asked about my understanding of business analysis, basic SQL queries, and how I would approach a given business problem. They also gave a case study to solve.
Your Approach: I explained my thought process clearly for the case study and demonstrated my knowledge of SQL with examples. I also linked my answers to real-world scenarios where possible.
Outcome: I passed this round and moved on to the final interview.
Round 3 - HR Interview:
Questions Asked: This round focused on my motivation for joining Latentview, my career goals, and how I handle teamwork and challenges.
Your Approach: I answered honestly, emphasizing my interest in business analysis and how my skills align with the role. I also shared examples of teamwork from past experiences.
Outcome: I successfully cleared this round and received the internship offer.
Preparation Tips:
Practice quantitative aptitude and logical reasoning thoroughly, as the written test is quite competitive.
Brush up on basic SQL and business analysis concepts, as they are frequently tested in the technical round.
Prepare for case studies by understanding how to structure your answers logically.
Conclusion:
Overall, the interview process was well-structured and challenging. The key to success was balancing speed and accuracy in the written test and being clear and confident in the interviews. For future candidates, I’d recommend practicing case studies and being prepared to explain your thought process in detail.
Application Process: Applied through campus placements. The process was smooth, and the company was very cooperative throughout.
Interview Rounds:
Round 1 - Technical Interview:
Questions Asked:
SQL concepts and queries.
Basic programming knowledge.
Your Approach: Focused on revising SQL concepts and practicing common queries beforehand. Answered the questions confidently, ensuring clarity in explanations.
Outcome: Cleared the round successfully.
Round 2 - HR Interview:
Questions Asked:
General HR questions about my background and interest in the role.
Situational questions to assess problem-solving and teamwork.
Your Approach: Stayed calm and answered honestly, emphasizing my enthusiasm for the role and my ability to work in a team.
Outcome: Received positive feedback and moved forward in the process.
Preparation Tips:
Focus heavily on SQL concepts and practice writing queries.
Brush up on basic programming knowledge, especially Python or R if applicable.
Be prepared to explain your thought process clearly during technical rounds.
Conclusion:
Overall, the interview experience with Latentview was smooth and well-structured. The interviewer was supportive, and the questions were fair. I would advise future candidates to focus on SQL and programming basics, as these are key to cracking the interview. Staying calm and confident during the HR round also helps a lot!
Application Process: Applied through campus placement.
Interview Rounds:
Round 1 - Aptitude:
Questions Asked: General aptitude questions covering quantitative, logical reasoning, and verbal ability.
Your Approach: Focused on time management and accuracy, practiced previous aptitude tests to get familiar with the pattern.
Outcome: Cleared the round successfully.
Round 2 - Technical 1 (Puzzles):
Questions Asked: Mostly puzzle-based questions to test problem-solving skills.
Your Approach: Tried to break down each puzzle into smaller parts and used logical reasoning to solve them. Stayed calm and communicated my thought process clearly.
Outcome: Cleared this round as well.
Round 3 - Technical 2 (Puzzles and Projects):
Questions Asked: More puzzles, along with questions about my areas of interest and project work.
Your Approach: Discussed my projects in detail, highlighting my contributions and learnings. For puzzles, I took my time to think before answering.
Outcome: Unfortunately, was eliminated in this round.
Round 4 - HR:
Questions Asked: Did not reach this round.
Your Approach: N/A
Outcome: N/A
Conclusion:
Overall, it was a good interview experience. The puzzles were challenging but fun to solve. I think I could have prepared more for the project-related questions to make my answers more structured. For future candidates, I’d suggest practicing puzzles thoroughly and being ready to explain your projects in detail. Good luck!
Location: On-Campus (Specific location not provided)
Application Process: Applied through on-campus placement process. The off-campus process details were not shared, but candidates can explore other sources for that information.
Interview Rounds:
Round 1 - Group Discussion:
Questions Asked: The topic for the group discussion was not specified, but it likely revolved around a business or analytical scenario to assess communication and teamwork skills.
Your Approach: Actively participated, shared relevant points, and ensured to listen to others while maintaining a balanced discussion.
Outcome: Successfully cleared the round.
Round 2 - Technical Round:
Questions Asked: Technical questions related to business analysis, problem-solving, and possibly basic data analysis concepts. Specific questions were not detailed.
Your Approach: Focused on explaining concepts clearly, using examples where applicable, and demonstrating analytical thinking.
Outcome: Advanced to the next round.
Round 3 - HR Round:
Questions Asked: Typical HR questions such as “Tell me about yourself,” “Why do you want to join Latentview?” and situational questions to gauge fit for the role.
Your Approach: Answered confidently, aligned responses with the company’s values, and showcased enthusiasm for the role.
Outcome: Cleared the HR round successfully.
Conclusion:
The overall interview process was smooth and well-structured. The group discussion was a good opportunity to showcase teamwork, while the technical round tested analytical skills. The HR round was conversational and focused on cultural fit. For future candidates, practicing group discussions and brushing up on basic business analysis concepts would be beneficial. Confidence and clarity in communication are key across all rounds.
Application Process: The application was part of the campus placement process.
Interview Rounds:
Round 1 - Aptitude Round:
Questions Asked: The round consisted of aptitude questions covering topics like quantitative ability, logical reasoning, and verbal ability.
Your Approach: I focused on solving the questions systematically, prioritizing accuracy over speed. I also brushed up on basic aptitude topics beforehand.
Outcome: Cleared the round successfully.
Round 2 - Group Discussion:
Questions Asked: We were given a topic related to current business trends and asked to discuss it as a group.
Your Approach: I made sure to contribute meaningfully, listen actively to others, and maintain a balanced perspective.
Outcome: Advanced to the next round.
Round 3 - Game-Based Assessment:
Questions Asked: This round involved solving puzzles and scenarios designed to test problem-solving and analytical skills.
Your Approach: I stayed calm and thought logically, treating it like a fun challenge rather than a test.
Outcome: Qualified for the next round.
Round 4 - Technical Interview:
Questions Asked: Questions ranged from basic SQL queries to case studies on business analysis scenarios.
Your Approach: I explained my thought process clearly and used examples from my coursework to demonstrate my understanding.
Outcome: Cleared the round.
Round 5 - HR Interview:
Questions Asked: Typical HR questions like “Tell me about yourself,” “Why Latentview?” and situational questions.
Your Approach: I answered honestly and confidently, aligning my responses with the company’s values.
Outcome: Received positive feedback and an offer.
Preparation Tips:
Practice aptitude questions regularly to build speed and accuracy.
Stay updated on current business trends for group discussions.
Work on problem-solving skills for the game-based assessment.
Brush up on technical skills like SQL and case study analysis.
Prepare for HR questions by reflecting on your experiences and motivations.
Conclusion:
The overall experience was smooth and well-structured. Each round was an elimination round, so consistency was key. I could have prepared more for the technical round by practicing more case studies. My advice to future candidates is to stay calm, be yourself, and prepare thoroughly for each round. The post and salary offered are based on your performance, so give it your best shot!
Application Process: Applied through campus placement.
Interview Rounds:
Round 1 - Written Test (Aptitude):
Questions Asked: General aptitude questions covering topics like quantitative ability, logical reasoning, and verbal ability.
Your Approach: Focused on solving problems quickly and accurately, especially in the quantitative section. Practiced previous aptitude tests to get familiar with the format.
Outcome: Cleared the round successfully.
Round 2 - Maths Related Interview:
Questions Asked: Questions on probability, statistics, and basic linear algebra. Also included problem-solving scenarios requiring mathematical reasoning.
Your Approach: Revised key concepts in probability and statistics beforehand. Tried to explain my thought process clearly while solving problems.
Outcome: Performed well and moved to the next round.
Round 3 - Technical Interview:
Questions Asked: Questions about data analysis, SQL queries, and basic programming logic. Also discussed a case study related to business analysis.
Your Approach: Prepared SQL queries and brushed up on basic programming concepts. For the case study, structured my answer by breaking down the problem and suggesting logical solutions.
Outcome: Cleared the technical round.
Round 4 - HR Interview:
Questions Asked: Typical HR questions like “Tell me about yourself,” “Why do you want to join Latentview?” and situational questions about teamwork and problem-solving.
Your Approach: Kept my answers concise and aligned them with the role of a Business Analyst. Highlighted my analytical skills and enthusiasm for the role.
Outcome: Received positive feedback and was selected for the internship.
Preparation Tips:
Practice aptitude tests regularly to improve speed and accuracy.
Revise core mathematical concepts, especially probability and statistics.
Brush up on SQL and basic programming for the technical round.
Prepare for HR questions by aligning your answers with the role and company values.
Conclusion:
Overall, the interview process was smooth and well-structured. I felt prepared for most rounds, but I could have practiced more case studies for the technical round. My advice to future candidates is to focus on clarity of thought and practice problem-solving under time constraints.
Application Process: The application was part of the campus placement process. The selection included four rounds, starting with an aptitude and verbal round, followed by two technical rounds, and concluding with an HR round.
Interview Rounds:
Round 1 - Aptitude + Verbal Round:
Questions Asked: The round included basic aptitude questions covering topics like quantitative ability, logical reasoning, and verbal ability (grammar, vocabulary, etc.).
Your Approach: I focused on solving the quantitative and logical reasoning questions first, as they were my strengths, and then moved on to the verbal section. I made sure to manage my time efficiently to attempt all questions.
Outcome: Cleared this round successfully and moved on to the next stage.
Round 2 - Technical Round 1:
Questions Asked: This round tested basic technical knowledge relevant to the Business Analyst role, such as SQL queries, data interpretation, and basic statistics. Some scenario-based questions were also asked to assess problem-solving skills.
Your Approach: I revised SQL basics and practiced interpreting data sets beforehand. For scenario-based questions, I structured my answers logically, explaining my thought process clearly.
Outcome: Performed well and advanced to the next technical round.
Round 3 - Technical Round 2:
Questions Asked: This round was more in-depth, with questions on data analysis, case studies, and how I would approach business problems. There were also follow-up questions based on my performance in the previous round.
Your Approach: I focused on applying my knowledge to real-world scenarios, using examples from past projects or coursework. I also ensured my answers were concise and relevant to the role.
Outcome: Cleared this round and proceeded to the final HR round.
Round 4 - HR Round:
Questions Asked: Typical HR questions like “Tell me about yourself,” “Why do you want to join Latentview?” and “Where do you see yourself in 5 years?” There were also situational questions to assess cultural fit.
Your Approach: I prepared my answers in advance, aligning them with the company’s values and the role. I kept my responses genuine and focused on my enthusiasm for the position.
Outcome: Successfully cleared the HR round and received the internship offer.
Preparation Tips:
For aptitude and verbal rounds, practice from standard aptitude books and online resources.
Brush up on SQL, basic statistics, and data interpretation for the technical rounds.
For HR rounds, research the company thoroughly and prepare answers for common questions.
Conclusion:
Overall, the interview process was smooth and well-structured. The key was to stay calm and perform consistently across all rounds. I would advise future candidates to focus on their basics and practice problem-solving under time constraints. Also, being genuine in the HR round goes a long way!
Application Process: The application was part of the campus placement process at my university. The company conducted multiple rounds to assess candidates for the Business Analyst Intern role.
Interview Rounds:
Round 1 - Aptitude Round:
Questions Asked: The round consisted of quantitative aptitude, logical reasoning, and verbal ability questions. The difficulty level was moderate.
Your Approach: I brushed up on basic aptitude topics like percentages, ratios, and logical puzzles beforehand. During the test, I focused on accuracy rather than attempting all questions.
Outcome: Cleared this round successfully.
Round 2 - Group Discussion:
Questions Asked: We were given a case study related to a business scenario and asked to discuss potential solutions as a group.
Your Approach: I actively participated, listened to others, and structured my points logically. I also ensured the discussion stayed on track.
Outcome: My contributions were noted, and I advanced to the next round.
Round 3 - Game-Based Assessment:
Questions Asked: This was an interactive round where we played a game simulating business decision-making scenarios.
Your Approach: I focused on strategic thinking and teamwork, making decisions that aligned with the business objectives.
Outcome: My performance was satisfactory, and I moved forward.
Round 4 - Technical Interview (Round 1):
Questions Asked: Questions covered SQL queries, data interpretation, and basic statistics. There were also situational questions about handling business problems.
Your Approach: I revised SQL commands and practiced case studies beforehand. During the interview, I explained my thought process clearly.
Outcome: The interviewer seemed satisfied, and I proceeded to the next technical round.
Round 5 - Technical Interview (Round 2):
Questions Asked: This round was more in-depth, with questions on data analysis, business metrics, and a mini-case study.
Your Approach: I used structured frameworks to break down the case study and linked my answers to real-world business scenarios.
Outcome: Cleared this round as well.
Round 6 - HR Interview:
Questions Asked: Typical HR questions like “Tell me about yourself,” “Why Latentview?” and situational questions about teamwork and challenges.
Your Approach: I kept my answers concise, aligned them with the role, and highlighted my enthusiasm for the company.
Outcome: The HR round went smoothly, and I received positive feedback.
Preparation Tips:
For aptitude, practice from standard books and online resources.
For group discussions, work on clarity of thought and active listening.
For technical rounds, focus on SQL, basic statistics, and case study frameworks.
For HR, prepare answers to common questions and research the company well.
Conclusion:
Overall, the interview process was well-structured and tested both technical and soft skills. I felt confident in my preparation, but I could have practiced more case studies for the technical rounds. My advice to future candidates is to stay calm, be thorough with the basics, and engage actively in every round.