Latentview Assistant Manager - Data Analytics Interview Questions & Experience Guide

Interview Preparation
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Latentview Assistant Manager - Data Analytics Interview Questions & Experience Guide

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Company Name: LatentView Analytics

Position: Assistant Manager - Data Analytics

Application Process: Applied through campus placement.

Interview Rounds:

  • Round 1 - Technical Round:
    • Questions Asked:
      1. Basic SQL questions.
      2. Statistical questions.
    • Your Approach:
      • For the SQL questions, I focused on writing clean and efficient queries, ensuring I covered joins, subqueries, and aggregations.
      • For the statistical questions, I explained concepts like hypothesis testing, p-values, and regression analysis clearly.
    • Outcome: Successfully cleared the round.

Preparation Tips:

  • Brush up on SQL fundamentals, especially joins and aggregations.
  • Revise key statistical concepts like hypothesis testing and regression.
  • Practice explaining your thought process clearly during the interview.

Conclusion:
The interview was straightforward, focusing on core technical skills. I felt confident in my answers, but practicing more real-world SQL scenarios beforehand could have been beneficial. For future candidates, I’d recommend hands-on practice with datasets to build confidence.

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Company Name: Latentview

Position: Assistant Manager - Data Analytics

Application Process: I applied via LinkedIn and was interviewed before October 2021.

Interview Rounds:

  • Round 1 - Coding Test:

    • Questions Asked: 8 Python coding questions along with 2 aptitude questions.
    • Your Approach: I focused on solving the Python problems efficiently and ensured my logic was clear. For the aptitude questions, I took my time to understand the problem before answering.
    • Outcome: Passed to the next round.

  • Round 2 - Assignment Round:

    • Questions Asked: Game-based assessment with more than 8 games to play.
    • Your Approach: I treated each game as a problem-solving exercise, paying attention to patterns and logical sequences.
    • Outcome: Successfully cleared this round.

  • Round 3 - One-on-one Round:

    • Questions Asked:
      • Questions from Python and SQL (SQL is a must for LatentView).
      • Project-related questions.
      • How many joins are in SQL?
      • What is a lambda function in Python?
      • Difference between tuples and lists.
    • Your Approach: I revised SQL joins thoroughly and practiced Python concepts like lambda functions and data structures (tuples vs. lists). For project-related questions, I highlighted my hands-on experience.
    • Outcome: Cleared the round and received positive feedback.

Preparation Tips:

  • To start a career in the analytics field, focus on learning SQL and Python. These skills are essential and can significantly increase your chances of landing a job.
  • Practice coding problems and SQL queries regularly.
  • Be prepared to discuss your projects in detail.

Conclusion:
Overall, the interview process was smooth and well-structured. I felt prepared because I had focused on SQL and Python, which are critical for this role. For future candidates, I’d recommend brushing up on these skills and being confident in discussing your projects. Good luck!

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Company Name: Latentview

Position: Assistant Manager - Data Analytics

Location: Rajalakshmi Engineering College, Chennai

Application Process: Applied via campus placement at Rajalakshmi Engineering College, Chennai, in July 2022.

Interview Rounds:

  • Round 1 - Resume Shortlist:

  • Questions Asked: N/A (Resume screening)

  • Your Approach: Ensured my resume was concise and highlighted relevant skills and projects.

  • Outcome: Shortlisted for the next round.

  • Round 2 - Aptitude Test:

  • Questions Asked: Basic verbal, quantitative, and logical questions of average difficulty.

  • Your Approach: Practiced basic aptitude topics beforehand to ensure familiarity.

  • Outcome: Cleared the test.

  • Round 3 - Group Discussion:

  • Questions Asked: Very general topics.

  • Your Approach: Spoke confidently and ensured my points were clear and relevant.

  • Outcome: Advanced to the next round.

  • Round 4 - Technical Round:

  • Questions Asked:

    1. Basic Machine Learning questions (as mentioned in my resume).
    2. Application of ML concepts to real-world scenarios.
    3. Generic logical puzzles.
    4. Basic Python programs (3-4 questions).

  • Your Approach: Revised ML concepts and practiced Python coding beforehand.

  • Outcome: Cleared the round.

  • Round 5 - One-on-One Round:

  • Questions Asked:

    1. Detailed discussion about projects mentioned in my resume.
    2. Tested basic business sense and awareness.

  • Your Approach: Prepared to explain my projects thoroughly and brushed up on general business knowledge.

  • Outcome: Successfully cleared the round.

  • Round 6 - Assignment Round:

  • Questions Asked: Logical puzzles and games.

  • Your Approach: Stayed calm and focused during the tasks.

  • Outcome: Advanced to the final round.

  • Round 7 - HR Round:

  • Questions Asked:

    1. “Tell me about yourself” (standard introduction).
    2. Roles of teammates in group projects listed in my resume.
    3. Whether I could manage the commute to their office.

  • Your Approach: Kept my answers honest and concise, emphasizing teamwork and adaptability.

  • Outcome: Received a positive response and moved forward in the process.

Preparation Tips:

  • Just be confident in what you say you know. Accentuate your strong suits and demonstrate a good “can-do” attitude.

Conclusion:
Overall, the interview process was thorough but manageable. Being well-prepared and confident in my responses helped me navigate each round successfully. For future candidates, I’d recommend focusing on your resume details, practicing aptitude and technical questions, and staying composed during the HR round.

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Company Name: LatentView Analytics

Position: Assistant Manager - Data Analytics

Location: [Not specified]

Application Process: I applied through campus placement in November 2023.

Interview Rounds:

  • Round 1 - Coding Test:

    • Questions Asked: It was a 3-hour test with 144 questions.
    • Your Approach: I focused on time management and prioritized questions based on my strengths.
    • Outcome: Cleared the round successfully.

  • Round 2 - HR Round:

    • Questions Asked:
      • Why did you select this company?
    • Your Approach: I highlighted my interest in data analytics and how LatentView aligns with my career goals.
    • Outcome: The round went well, and I received positive feedback.

Preparation Tips:

  • Brush up on coding skills and practice time-bound tests.
  • Research the company thoroughly to answer HR questions confidently.

Conclusion:
The interview process was smooth, and the questions were aligned with the role. I could have practiced more coding problems to improve my speed. For future candidates, focus on both technical and HR preparation to ace the rounds.

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Company Name: LatentView Analytics

Position: Assistant Manager - Data Analytics

Location: National Institute of Technology (NIT), Tiruchirappalli

Application Process: Applied via campus placement at NIT Tiruchirappalli in November 2022.

Interview Rounds:

  • Round 1 - Resume Shortlist:

    • Questions Asked: Resume-based screening.
    • Your Approach: Ensured my resume was well-formatted and aligned to highlight relevant skills and experiences.
    • Outcome: Successfully shortlisted for the next round.

  • Round 2 - Aptitude Test:

    • Questions Asked: Medium-level questions covering various topics.
    • Your Approach: Prepared by practicing aptitude questions from multiple topics.
    • Outcome: Cleared the test and moved to the next round.

  • Round 3 - Group Discussion:

    • Questions Asked: Given a topic with 1 minute to think, followed by a 30-minute discussion.
    • Your Approach: Focused on clear communication and logical points while respecting others’ opinions.
    • Outcome: Advanced to the technical round.

  • Round 4 - Technical Round:

    • Questions Asked:
      1. Basic resume questions, Python, and SQL queries.
      2. Advanced Python and SQL questions, including OOPs concepts and joins.
    • Your Approach: Revised Python and SQL basics, practiced coding problems, and prepared for resume-based questions.
    • Outcome: Cleared the technical round.

  • Round 5 - HR Round:

    • Questions Asked:
      1. Why LatentView?
      2. Why analytics?
      3. Best achievements.
    • Your Approach: Researched the company, aligned my goals with their work, and highlighted my achievements confidently.
    • Outcome: Received positive feedback and cleared the round.

Preparation Tips:

  • Focus on Python and SQL basics, especially OOPs concepts and joins.
  • Practice aptitude questions from various topics.
  • Prepare for group discussions by working on communication and logical reasoning.
  • Research the company and align your answers with their values and goals.

Conclusion:
Overall, the interview process was smooth and well-structured. I ensured my resume was polished and prepared thoroughly for each round. Practicing coding problems and revising core concepts helped me perform well in the technical rounds. For future candidates, focus on your basics, stay confident, and prepare for both technical and HR questions.

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Company Name: LatentView Analytics

Position: Assistant Manager - Data Analytics

Location: VIT Vellore

Application Process: Campus placement

Interview Rounds:

  • Round 1 - Aptitude Test:

    • Questions Asked: 40 questions of varying difficulty with weightage ranging from 0.5 to 3 marks per question.
    • Your Approach: Prioritized attempting 1 and 1.5 marks questions first (majority of the paper) in 40 minutes, then tackled 2 and 3 marks questions in the remaining 20 minutes. Skipped 0.5 mark questions.
    • Outcome: Cleared the round; 86 out of 1600 students were shortlisted for the next round.

  • Round 2 - Technical Interview:

    • Questions Asked:
      • Write a C program to print the Fibonacci sequence.
      • Basic SQL query.
      • A puzzle.
      • Resume-related questions.
    • Your Approach: Stayed calm, thought through the problems, and answered confidently.
    • Outcome: Cleared the round; 26 out of 86 students advanced to the next technical round.

  • Round 3 - Technical Interview:

    • Questions Asked:
      • Write a C program to print prime numbers between 1 and 100.
      • A puzzle.
      • Guesstimate: Number of cars between two places.
      • Scenario-based question.
      • Resume-related questions.
    • Your Approach: Took time to think, asked for clarification when needed, and answered methodically.
    • Outcome: Cleared the round; all 26 students proceeded to the HR round.

  • Round 4 - HR Interview:

    • Questions Asked:
      • Family background.
      • “Why should we hire you?”
      • Fondest memories from school days.
    • Your Approach: Answered honestly and confidently, showcasing my personality and enthusiasm.
    • Outcome: Received an offer; 10 out of 1600 students were selected.

Preparation Tips:

  • Practice aptitude questions with varying difficulty levels.
  • Brush up on C programming and SQL basics.
  • Solve puzzles and guesstimates to improve analytical thinking.
  • Be thorough with your resume and ready to discuss any aspect of it.

Conclusion:
The interview process was rigorous but manageable with the right preparation. Staying calm and confident was key. My advice to future candidates is to focus on time management during the test, practice coding and puzzles, and be genuine in the HR round. Good luck!

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Company Name: LatentView Analytics

Position: Assistant Manager - Data Analytics

Application Process: I applied through the company website and was interviewed before February 2023.

Interview Rounds:

  • Round 1 - Coding Test:

    • Questions Asked: SQL coding questions on an online platform.
    • Your Approach: I practiced SQL queries beforehand, focusing on joins, subqueries, and aggregations. During the test, I carefully read each question and ensured my solutions were efficient.
    • Outcome: Passed this round.

  • Round 2 - Technical Round:

    • Questions Asked: The interviewer asked questions centered around my resume, including my past projects and technical skills.
    • Your Approach: I prepared by reviewing my resume thoroughly and was ready to explain my projects in detail, including the tools and methodologies I used.
    • Outcome: Successfully cleared this round.

  • Round 3 - HR Round:

    • Questions Asked: Basic HR questions about salary expectations and personal background.
    • Your Approach: I researched typical salary ranges for the role and prepared to discuss my career goals and fit for the company culture.
    • Outcome: Cleared this round and received the offer.

Preparation Tips:

  • Practice SQL coding extensively, especially joins and aggregations.
  • Be prepared to discuss every detail on your resume, including projects and technical skills.
  • Research the company and role to answer HR questions confidently.

Conclusion:
The interview process was smooth and well-structured. I felt prepared for each round, but I could have practiced more SQL edge cases for the coding test. My advice to future candidates is to focus on resume-backed explanations and SQL proficiency.

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Company Name: Latentview

Position: Assistant Manager - Data Analytics

Location: Amrita Vishwa Vidyapeetham, Amritapuri Campus

Application Process: I applied via campus placement at my university in November 2023.

Interview Rounds:

  • Round 1 - Aptitude Test:

    • Questions Asked: Blood Relations, Pipes and Cisterns, Time and Work, etc.
    • Your Approach: I brushed up on basic aptitude topics and practiced previous year’s questions to get comfortable with the format.
    • Outcome: Cleared the round successfully.

  • Round 2 - Coding Test:

    • Questions Asked: A question based on hashmap.
    • Your Approach: I focused on understanding the problem first and then implemented an efficient solution using hashmap.
    • Outcome: Passed this round as well.

  • Round 3 - Group Discussion:

    • Topic: “Is Artificial Intelligence a boon or a bane?”
    • Your Approach: I actively participated, presenting balanced arguments while also listening to others’ viewpoints.
    • Outcome: Managed to contribute meaningfully and cleared the round.

  • Round 4 - Technical Round:

    • Questions Asked:
      1. Python and SQL questions.
      2. Questions on Python libraries like Numpy and Pandas.
    • Your Approach: I revised my resume thoroughly, especially the projects and technical skills mentioned. For SQL, I practiced common queries, and for Python, I focused on data manipulation using Pandas and Numpy.
    • Outcome: The interviewer seemed satisfied with my answers, and I cleared this round too.

Preparation Tips:

  • Prepare thoroughly from your resume, as technical questions often revolve around what you’ve mentioned.
  • Practice aptitude and coding problems regularly.
  • For group discussions, stay updated on current topics and practice articulating your thoughts clearly.

Conclusion:
Overall, the interview process was smooth, and I felt well-prepared. I could have spent more time on advanced SQL queries, but my preparation in Python and aptitude helped me clear the rounds. My advice to future candidates is to focus on their resume details and practice problem-solving consistently.

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Company Name: LatentView Analytics

Position: Assistant Manager - Data Analytics

Location: [Not specified]

Application Process: I applied through campus placement in July 2023.

Interview Rounds:

  • Round 1 - Aptitude Test:

    • Questions Asked: Multiple sections on cognitive ability, quantitative and logical reasoning. There was also 1 coding question.
    • Your Approach: I focused on solving the quantitative and logical reasoning sections first, as they were my strengths. For the coding question, I ensured my solution was efficient and well-structured.
    • Outcome: I cleared this round and moved to the next stage.

  • Round 2 - Group Discussion:

    • Questions Asked: The topic was relatively easy, and the discussion was open-ended.
    • Your Approach: I actively participated, ensuring my points were clear and concise. I also made sure to listen to others and build on their ideas.
    • Outcome: About 50% of the candidates moved to the next round, and I was one of them.

  • Round 3 - One-on-One Technical Round:

    • Questions Asked:
      1. Technical questions on SQL, DBMS, and basic programming (e.g., palindrome, Fibonacci).
      2. Difference between UNION and UNION ALL.
      3. Types of SQL commands.
    • Your Approach: I answered the SQL and DBMS questions confidently, drawing from my coursework and projects. For the programming questions, I explained my thought process step-by-step.
    • Outcome: I performed well and advanced to the final round.

  • Round 4 - HR Round:

    • Questions Asked: Common HR questions about my background, motivations, and fit for the role.
    • Your Approach: I kept my answers honest and aligned them with the company’s values and the role’s requirements.
    • Outcome: The round went smoothly, and I felt confident about my responses.

Preparation Tips:

  • Focus on the basics of SQL, DBMS, and programming concepts like palindromes and Fibonacci sequences.
  • Practice logical reasoning and quantitative aptitude questions to ace the initial rounds.
  • For group discussions, work on active listening and clear communication.

Conclusion:
Overall, the interview process was well-structured and tested both technical and soft skills. I could have prepared more for the HR round by researching the company’s culture in depth. My advice to future candidates is to thoroughly revise core technical concepts and stay calm during the group discussion to make a positive impression.

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Company Name: LatentView Analytics

Position: Assistant Manager - Data Analytics

Application Process: I applied through campus placement.

Interview Rounds:

  • Round 1 - Resume Shortlist:

    • Details: The initial round involved a resume screening process.
    • Outcome: My resume was shortlisted for the next round.

  • Round 2 - Aptitude Test:

    • Details: The test was straightforward and easy to approach.
    • Outcome: I cleared this round successfully.

  • Round 3 - Group Discussion:

    • Details: We discussed common topics like whether certain societal trends are a boon or a bane.
    • Outcome: I performed well and moved to the next stage.

  • Round 4 - Case Study:

    • Details: The interviewers presented scenarios related to data analytics and asked for solutions.
    • Outcome: I provided logical solutions and advanced to the next round.

  • Round 5 - Technical Round:

    • Questions Asked: The questions were focused on my technical skills and details from my resume.
    • Your Approach: I explained my projects and skills clearly, emphasizing my problem-solving abilities.
    • Outcome: I cleared this round successfully.

  • Round 6 - HR Round:

    • Questions Asked: The discussion revolved around work culture, compensation, and my fit for the role.
    • Your Approach: I answered honestly and aligned my responses with the company’s values.
    • Outcome: I received positive feedback and moved forward in the process.

Preparation Tips:

  • Focus on your resume and be prepared to discuss every detail.
  • Practice aptitude tests to ensure speed and accuracy.
  • Engage in group discussions on diverse topics to improve communication skills.
  • Work on case studies to enhance your analytical thinking.
  • Brush up on technical skills relevant to the role.

Conclusion:
The interview process was thorough but well-structured. I felt prepared for each round, but I could have practiced more case studies to refine my responses. My advice to future candidates is to stay confident, be clear about your skills, and engage actively in every round. Good luck!

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Company Name: LatentView

Position: Assistant Manager - Data Analytics

Location: [Location not specified]

Application Process: [Application process details not provided]

Interview Rounds:

  • Round 1 - Technical Round:

    • Questions Asked:
      • All basic concepts of Python, SQL, and Machine Learning.
    • Your Approach:
      • Reviewed fundamental concepts of Python, SQL, and ML to ensure a strong foundation.
    • Outcome:
      • [Result of this round not provided]

  • Round 2 - Coding Test Round:

    • Questions Asked:
      • Aptitude, technical, and cognitive questions.
    • Your Approach:
      • Prepared by practicing aptitude and technical problems, focusing on problem-solving skills.
    • Outcome:
      • [Result of this round not provided]

Preparation Tips:

  • Focus on mastering basic concepts of Python, SQL, and Machine Learning.
  • Practice aptitude and technical problems to improve problem-solving speed and accuracy.

Conclusion:

  • The interview process was thorough, testing both technical knowledge and cognitive abilities.
  • Strengthening foundational concepts and practicing problem-solving would be beneficial for future candidates.
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Company Name: LatentView

Position: Assistant Manager - Data Analytics

Location: [Not specified]

Application Process: I applied via a referral and was interviewed in August 2022.

Interview Rounds:

  • Round 1 - Resume Shortlist:

  • Questions Asked: N/A (Resume screening)

  • Your Approach: Ensured my resume was error-free and highlighted relevant skills.

  • Outcome: Cleared the round.

  • Round 2 - Aptitude Test:

  • Questions Asked: Mostly based on profit/loss and coding.

  • Your Approach: Focused on solving the problems quickly and accurately.

  • Outcome: Cleared the round.

  • Round 3 - Group Discussion:

  • Questions Asked: Topic: “How education is important in our life.”

  • Your Approach: Actively participated and shared structured points.

  • Outcome: Cleared the round.

  • Round 4 - Technical Round:

  • Questions Asked:

    1. Questions on SQL and machine learning (as per my resume).
    2. “Find the top two logged-in people of each state in Facebook.”

  • Your Approach: Explained my thought process clearly and used SQL queries for the second question.

  • Outcome: Cleared the round.

Preparation Tips:

  • Focus on SQL if you mention it in your resume.
  • Be prepared for aptitude questions on profit/loss and coding.
  • Practice group discussions on general topics.
  • Brush up on machine learning concepts if they are part of your resume.

Conclusion:
Overall, the interview process was smooth and well-structured. I felt confident because I had prepared well for SQL and aptitude questions. For future candidates, I’d recommend being thorough with the skills mentioned in your resume and practicing problem-solving under time constraints.

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Company Name: Latentview

Position: Assistant Manager - Data Analytics

Application Process: The application process involved multiple rounds, including technical and HR interviews.

Interview Rounds:

  • Round 1 - Easy Screening Round:

    • Questions Asked: General questions about my background, experience, and interest in data analytics.
    • Your Approach: I kept my answers concise and focused on my relevant skills and enthusiasm for the role.
    • Outcome: Passed this round and moved to the next stage.

  • Round 2 - Technical Round:

    • Questions Asked: Questions covered topics like SQL queries, data analysis techniques, and problem-solving scenarios.
    • Your Approach: I tackled the questions methodically, ensuring I understood the problem before jumping into solutions. For SQL, I focused on writing efficient queries.
    • Outcome: The round was moderate, and I felt confident about my performance. I advanced to the final round.

  • Round 3 - HR Round:

    • Questions Asked: Typical HR questions about my career goals, teamwork, and why I wanted to join Latentview.
    • Your Approach: I emphasized my alignment with the company’s values and my long-term interest in data analytics.
    • Outcome: The conversation was smooth, and I felt positive about the interaction.

Preparation Tips:

  • Brush up on SQL and data analysis concepts.
  • Practice explaining your thought process clearly for technical problems.
  • Be ready to discuss your past projects and how they relate to the role.

Conclusion:
Overall, the interview process was well-structured and gave me a good opportunity to showcase my skills. The technical round was the most challenging, but preparing thoroughly helped. My advice to future candidates is to stay calm and articulate your answers clearly.

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Company Name: Latentview

Position: Assistant Manager - Data Analytics

Location: [Location not specified]

Application Process: Applied through campus placement.

Interview Rounds:

  • Round 1 - Coding Assessment:

  • Questions Asked: Fairly easy coding questions focusing on Python and basic Data Structures and Algorithms (DSA).

  • Your Approach: Solved the problems using Python, ensuring clarity and efficiency in the code.

  • Outcome: Cleared the round successfully.

  • Round 2 - Technical Interview:

  • Questions Asked: Questions revolved around Python, DSA, and some basic data analytics concepts.

  • Your Approach: Explained the logic behind the solutions and discussed the time complexity of the algorithms.

  • Outcome: Advanced to the next round.

  • Round 3 - Technical Interview:

  • Questions Asked: More in-depth questions on Python, DSA, and a few scenario-based problems related to data analytics.

  • Your Approach: Demonstrated problem-solving skills and discussed real-world applications of the concepts.

  • Outcome: Cleared the round and moved to the final HR round.

  • Round 4 - HR Interview:

  • Questions Asked: General HR questions about my background, career goals, and why I wanted to join Latentview.

  • Your Approach: Answered honestly and confidently, aligning my responses with the company’s values.

  • Outcome: Received positive feedback and cleared the round.

Preparation Tips:

  • Focus on Python and basic DSA concepts.
  • Practice coding problems to improve speed and accuracy.
  • Brush up on fundamental data analytics topics.

Conclusion:
The entire interview process was smooth and completed in a single day. The questions were fair, and the interviewers were supportive. I would advise future candidates to prepare thoroughly for Python and DSA, as they form the core of the technical rounds. Additionally, being clear and confident in the HR round can make a significant difference.

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Company Name: Latentview

Position: Assistant Manager - Data Analytics

Location: Chennai

Application Process: Applied via campus placement at Rajalakshmi Engineering College, Chennai, and was interviewed in July 2022.

Interview Rounds:

  • Round 1 - Resume Shortlist:

  • Questions Asked: N/A (Resume screening)

  • Your Approach: Ensured my resume was concise and highlighted relevant skills and projects.

  • Outcome: Shortlisted for the next round.

  • Round 2 - Aptitude Test:

  • Questions Asked: Basic verbal, quant, and logical questions of average difficulty.

  • Your Approach: Practiced basic aptitude questions beforehand and managed time effectively during the test.

  • Outcome: Cleared the round.

  • Round 3 - Group Discussion:

  • Questions Asked: General topics (not specified).

  • Your Approach: Spoke confidently and ensured my points were clear and relevant.

  • Outcome: Successfully passed.

  • Round 4 - Technical Round:

  • Questions Asked:

    1. Basic Machine Learning questions (as mentioned in my resume).
    2. Application of ML concepts to real-world scenarios.
    3. Generic logical puzzles.
    4. Basic Python programs (3-4 questions).

  • Your Approach: Revised ML concepts and practiced Python coding beforehand.

  • Outcome: Cleared the round.

  • Round 5 - One-on-One Round:

  • Questions Asked:

    1. Detailed discussion about projects mentioned in my resume.
    2. Tested basic business sense and awareness.

  • Your Approach: Prepared to explain my projects thoroughly and brushed up on general business knowledge.

  • Outcome: Advanced to the next round.

  • Round 6 - Assignment Round:

  • Questions Asked: Logical puzzles and games.

  • Your Approach: Stayed calm and focused on solving the puzzles methodically.

  • Outcome: Cleared the round.

  • Round 7 - HR Round:

  • Questions Asked:

    1. “Tell me about yourself” (standard introduction).
    2. Roles of teammates in group projects listed in my resume.
    3. Questions about myself and whether I could manage the commute to their office.

  • Your Approach: Prepared a concise self-introduction and was honest about my capabilities and commute.

  • Outcome: Received a positive response.

Preparation Tips:

  • Just be confident in what you say you know. Accentuate your strong suits and demonstrate a good can-do attitude.
  • Revise technical concepts thoroughly, especially those mentioned in your resume.
  • Practice logical puzzles and basic coding problems.
  • Prepare for HR questions by reflecting on your experiences and how you present them.

Conclusion:
Overall, the interview process was smooth and well-structured. Being confident and well-prepared helped me navigate each round effectively. I would advise future candidates to focus on their strengths, stay calm, and ensure they can articulate their knowledge clearly.

17

Company Name: Latentview

Position: Assistant Manager - Data Analytics

Location: Rajalakshmi Engineering College, Chennai

Application Process: Applied via campus placement at Rajalakshmi Engineering College, Chennai, in July 2022.

Interview Rounds:

  • Round 1 - Resume Shortlist:

  • Questions Asked: N/A (Resume screening)

  • Your Approach: Ensured my resume was concise and highlighted relevant skills and projects.

  • Outcome: Shortlisted for the next round.

  • Round 2 - Aptitude Test:

  • Questions Asked: Basic verbal, quantitative, and logical questions of average difficulty.

  • Your Approach: Prepared by practicing standard aptitude questions and focused on time management.

  • Outcome: Cleared the test.

  • Round 3 - Group Discussion:

  • Questions Asked: General topics (not specified).

  • Your Approach: Spoke confidently and ensured my points were clear and relevant.

  • Outcome: Advanced to the next round.

  • Round 4 - Technical Round:

  • Questions Asked:

    1. Basic Machine Learning questions (as mentioned in my resume).
    2. Application of ML concepts to real-world scenarios.
    3. Generic logical puzzles.
    4. Basic Python programs (3-4 questions).

  • Your Approach: Revised ML concepts and practiced Python coding beforehand.

  • Outcome: Cleared the round.

  • Round 5 - One-on-One Round:

  • Questions Asked:

    1. Detailed discussion about projects mentioned in my resume.
    2. Tested basic business sense and awareness.

  • Your Approach: Prepared to explain my projects thoroughly and brushed up on general business knowledge.

  • Outcome: Progressed further.

  • Round 6 - Assignment Round:

  • Questions Asked: Logical puzzles and games.

  • Your Approach: Stayed calm and focused on solving the puzzles methodically.

  • Outcome: Successfully completed the round.

  • Round 7 - HR Round:

  • Questions Asked:

    1. “Tell me about yourself” (standard introduction).
    2. Roles of teammates in group projects listed in my resume.
    3. Personal details and ability to manage the commute to their office.

  • Your Approach: Kept my answers professional yet personal, and ensured clarity about my role in team projects.

  • Outcome: Received a positive response.

Preparation Tips:

  • Be confident in what you know and highlight your strengths.
  • Demonstrate a “can-do” attitude throughout the interview process.
  • Practice standard aptitude, technical, and HR questions beforehand.

Conclusion:
Overall, the interview process was thorough but manageable. Being well-prepared and confident helped me navigate each round successfully. For future candidates, I’d recommend focusing on your strong suits and maintaining a positive attitude.