Interview questions for Tiger Analytics Consulting
Hi everyone, this topic is for sharing Preparation guidelines and interview experience for Tiger Analytics Consulting
The Consulting at Tiger Analytics involves a multi-stage assessment and interview process, designed to evaluate both technical skills and business proficiency. Below is a summary of the process and key points from the interviews you provided:
Technical (.NET/OOP/MVC/Web API)
Explain core OOP principles (encapsulation, inheritance, polymorphism, abstraction) with examples.
Answer advanced OOP questions and apply OOP concepts to scenario-based problems.
Describe the ASP.NET MVC request life cycle.
What are Action Filters in ASP.NET MVC? When and how do you use them?
Explain key ASP.NET Web API concepts (routing, controllers, HTTP methods, status codes).
.NET-related questions on framework concepts and practical implementation in applications.
Database/SQL
Write SQL/DB queries for given business scenarios.
Testing/Selenium
Questions on Selenium testing concepts and commonly automated testing scenarios.
Tools/Analytics Proficiency
What tools are you proficient in (e.g., Excel, SQL, industry-specific software), and how have you applied them in projects?
HR/Personality/Behavioral
Introduce yourself and walk me through your work experience.
Discuss your academic background and relevant projects.
Situational/Scenario-Based
Scenario-based questions around OOP/.NET design and applying concepts to real-world problems.
If the transcript contains the interview process or tips, summarize them as shown below:
Assessment Test Rounds:
No separate assessment test was mentioned in the shared experiences.
Interview Rounds:
Round 1: Technical Interview
Focus areas varied by candidate profile: Selenium testing OR .NET/OOP/DB with Web API, MVC life cycle, and Action Filters.
For campus applicants, round also covered introduction/work experience and tool knowledge with application examples (Excel, SQL).
Outcome examples: Some candidates cleared and received offers shortly after.
Round 2: Technical Interview (Advanced)
Advanced OOP questions, additional DB query exercises, and .NET-specific topics.
Application Process: Applied online and received an interview call within a week. The interview was scheduled shortly after, and the offer letter was received within 4-5 days post-interview.
Your Approach: Prepared by revising Selenium concepts and practicing common testing scenarios.
Outcome: Successfully cleared the round and received the offer.
Preparation Tips:
Focus on technical skills relevant to the role, especially Selenium testing.
Apply early and be prepared for a quick turnaround in the interview process.
Conclusion:
The overall experience was smooth and efficient. The key was being well-prepared for the technical round. For future candidates, ensure you have a strong grasp of the required technical skills and be ready for a fast-paced hiring process.
Application Process: Applied via a job fair in September 2022.
Interview Rounds:
Round 1 - Resume Shortlist:
Questions Asked: N/A (Resume screening round)
Your Approach: Ensured my resume was concise and highlighted relevant skills and experiences.
Outcome: Successfully shortlisted for the next round.
Round 2 - One-on-one Round:
Questions Asked:
What is Supervised machine learning?
Which algorithm can you explain brilliantly?
Why do we use random forest instead of a normal decision tree?
Example of a case study.
Your Approach: Answered the technical questions clearly, focusing on practical examples for the case study question.
Outcome: Advanced to the next round.
Round 3 - Case Study Round:
Questions Asked: Retail case study involving company trends, sales, total sale, profit charts, and reports.
Your Approach: Analyzed the provided data thoroughly and presented logical conclusions.
Outcome: Final round completed; awaiting results.
Preparation Tips:
Be well-prepared with coding practice and case study analysis.
Focus on understanding machine learning concepts and their practical applications.
Conclusion:
The interview process was structured and insightful. I felt confident in my technical responses but realized the importance of practicing case studies more rigorously. For future candidates, I’d recommend brushing up on both theoretical and practical aspects of consulting and machine learning.
Application Process: I applied via a walk-in and was interviewed before January 2023.
Interview Rounds:
Round 1 - Aptitude Test:
Questions Asked: I don’t remember the specific questions now.
Your Approach: General preparation for aptitude tests, focusing on logical reasoning and quantitative ability.
Outcome: Cleared the round.
Round 2 - Communication Round:
Questions Asked: Speak for 3 minutes about any topic you like. How will you phrase a sentence for a given topic?
Your Approach: Chose a familiar topic and structured my thoughts clearly to speak confidently.
Outcome: Successfully communicated my points and moved to the next round.
Round 3 - HR Round:
Questions Asked: Are you willing to relocate? Are you comfortable with rotational shifts?
Your Approach: Answered honestly about my flexibility and willingness to adapt to the company’s requirements.
Outcome: Positive feedback and moved forward in the process.
Preparation Tips:
Practice aptitude tests regularly to improve speed and accuracy.
Work on communication skills, especially speaking confidently on random topics.
Be prepared to answer HR questions about relocation and work shifts honestly.
Conclusion:
Overall, the interview process was smooth and well-structured. I felt prepared for each round, but I could have practiced more on time management during the aptitude test. My advice to future candidates is to stay calm and be yourself during the HR round—honesty goes a long way!
Application Process: I applied through a recruitment consultant in November 2021.
Interview Rounds:
Round 1 - Technical Interview:
Questions Asked:
How to generate a time dimension?
Your Approach: I discussed my understanding of time dimensions in data modeling and shared examples from my previous projects where I had implemented similar concepts.
Outcome: The interview was more focused on my work experience and projects rather than pure technical questions.
Preparation Tips:
The interview was not purely technical; it was heavily based on my work experience and the projects I had worked on. Be prepared to discuss your past projects in detail.
Conclusion:
The interview was a good experience, and the questions were tailored to my background. I would advise future candidates to thoroughly review their past projects and be ready to explain their contributions and learnings.
Application Process: I applied via a recruitment consultant and was interviewed before May 2023.
Interview Rounds:
Round 1 - Technical Round:
Questions Asked: OOPs concepts, DB queries, WEB API questions, MVC life cycle, Action filters.
Your Approach: I focused on explaining the core concepts clearly and provided practical examples where applicable. For DB queries, I ensured I understood the problem before writing the query.
Outcome: Passed to the next round.
Round 2 - Technical Round:
Questions Asked: Advanced OOPs questions, DB queries, Dot net-related questions.
Your Approach: I delved deeper into OOPs principles and prepared for scenario-based questions. For Dot net, I revised framework-specific details and common interview questions.
Outcome: Awaiting results.
Preparation Tips:
Prepare OOPs concepts thoroughly, including advanced topics.
Practice writing DB queries for various scenarios.
Revise Dot net framework-related questions, especially MVC and WEB API concepts.
Conclusion:
The interview process was smooth, and the questions were aligned with the job role. I felt confident about my technical knowledge, but I could have practiced more scenario-based questions for Dot net. For future candidates, I recommend focusing on practical applications of OOPs and DB concepts, as well as staying updated on Dot net frameworks.
Application Process: Applied via Naukri.com and was interviewed in September 2023.
Interview Rounds:
Round 1 - One-on-one Round:
Questions Asked:
What is availability?
What happens when an invoice is related to accounting?
What are rebates?
What are cash sales and rush orders?
What is PGI?
Your Approach: I tried to answer each question clearly and concisely, drawing from my knowledge of accounting and business processes. For the technical terms, I provided definitions and practical examples where applicable.
Outcome: The interview went well, but I did not receive detailed feedback on my performance.
Preparation Tips:
Prepare thoroughly for the role and understand the job description in detail.
Brush up on key concepts related to accounting, business processes, and any technical terms relevant to the role.
Conclusion:
Overall, the interview was a good learning experience. I realized the importance of being well-versed in both theoretical and practical aspects of the role. For future candidates, I would recommend focusing on clarity and confidence while answering questions.
Practice coding problems, possibly related to energy or optimization.
Be prepared to discuss the impact of social media in a professional context.
Conclusion:
The interview process was structured and covered technical as well as HR aspects. While the specifics of the questions were challenging, a strong grasp of Golang and problem-solving skills would be beneficial. Future candidates should also be ready to articulate their thoughts on broader topics like social media influence.
Questions Asked: The interview revolved around the case solution presentation.
Your Approach: Focused on presenting the analysis and findings of the case provided. Emphasized sound reasoning and clear communication.
Outcome: Despite some mistakes in the presentation, the ability to explain the core approach and reasoning helped in progressing further.
Preparation Tips:
Be confident in your analysis of the case. The discussion will heavily rely on your findings.
Prioritize sound reasoning and effective communication over just the solution.
If you notice mistakes during the presentation, acknowledge them and explain your thought process clearly.
Conclusion:
The interview was a great learning experience. Being thorough with the case analysis and maintaining clarity in communication were key takeaways. Future candidates should focus on these aspects to perform well in similar rounds.
Application Process: The application process was initiated through a campus placement drive.
Interview Rounds:
Round 1 - Technical Round:
Questions Asked:
Introduction and work experience.
Tool knowledge and its application.
Your Approach:
For the introduction and work experience question, I highlighted my academic background, relevant projects, and any prior internships or work experience.
For the tool knowledge question, I discussed the tools I was familiar with, such as Excel, SQL, and any industry-specific software, and explained how I had applied them in past projects.
Outcome: The round went well, and I was able to articulate my experience and tool proficiency effectively.
Preparation Tips:
Brush up on the tools and technologies relevant to the consulting role.
Be prepared to discuss your past projects and how they align with the job requirements.
Practice explaining your work experience concisely and clearly.
Conclusion:
The interview was a great learning experience. I felt confident in my responses, but I could have prepared more specific examples of tool applications. My advice to future candidates is to thoroughly research the company and role to tailor your answers accordingly.