🎯 Interview Skills

🎯 Learning Objectives

• Prepare effectively for interviews (research, practice, logistics)
• Answer common questions using the STAR technique
• Demonstrate confidence, professionalism, and good body language
• Handle difficult questions gracefully
• Follow up with a professional thank-you note

📋 Prerequisites

• BSHS1002 Week 3: Business Communication — professional language
• BSHS1002 Week 4: Presentation Skills — speaking confidently

3. 📖 Core Content

3.1 Intuition: What Is an Interview?

Real-world context: Whether you are applying for a job, a research position, or a college admission, interviews are gateways. Preparation can mean the difference between success and rejection.

3.2 The Interview Preparation Framework

3.3 Researching the Company

Sample Research Notes

Company: TechCorp Solutions Industry: AI-based education technology Mission: "Making quality education accessible through AI" Recent news: Launched a new adaptive learning platform in January 2025 Role: Data Analyst — analyzing student performance data Skills needed: Python, SQL, data visualization, communication Your match: "I used Python and SQL in my IITM data science project. I presented findings to my team."

3.4 Common Interview Questions

Tell Me About Yourself

Why Do You Want This Job?

What Are Your Strengths and Weaknesses?

"My greatest strength is data analysis. In my IITM project, I cleaned and analyzed a dataset of 50,000 records, identifying key patterns that improved prediction accuracy by 15%." Weaknesses: Choose a REAL weakness + show how you are improving. "I sometimes spend too much time perfecting small details. I have been working on this by setting deadlines for each task and sticking to them, which has helped me balance quality with efficiency."

3.5 The STAR Technique for Behavioral Questions

STAR Example

(S) Situation: "During my second year at IIT Madras, our team project hit a major roadblock. The dataset we were using had 40% missing values, and our model was producing unreliable results."

(T) Task: "As the data analyst on the team, I needed to find a way to clean the data without losing valuable information."

(A) Action: "I researched different imputation techniques and decided to use multiple imputation instead of simply removing incomplete rows. I wrote Python scripts to implement this, and I tested three different approaches to find the best one."

(R) Result: "Our model accuracy improved from 62% to 89%. We completed the project on time, and our team received the highest grade in the class. I also documented the imputation process so future teams could benefit."

3.6 Body Language and Confidence

3.7 Handling Difficult Questions

Questions YOU Can Ask the Interviewer

3.8 After the Interview

Thank-You Email Template

Subject: Thank You — [Your Name] — [Position Name]

Dear [Interviewer Name],

Thank you for taking the time to meet with me today. I really enjoyed learning more about [Company] and the [Position] role.

Our conversation about [specific topic discussed] was particularly interesting, and it reinforced my enthusiasm for this opportunity.

Please let me know if you need any additional information from me. I look forward to hearing from you.

Best regards, [Your Name]

Follow-Up Timeline

3.9 Before/After: Weak vs. Strong Interview Response

"My name is Ravi. I am 20 years old. I am studying at IIT Madras. I like programming. I want a job."

"I am a second-year Data Science student at IIT Madras, passionate about using machine learning to solve real-world problems. In my current project, I built a model that predicts student dropout rates with 92% accuracy. I am particularly interested in TechCorp because your mission of using AI for education aligns perfectly with my skills and values. I am excited about this data analyst role and believe I can contribute meaningfully to your team."

3.10 Key Concepts Summary Table

4. Common Pitfalls

Pitfall 1: Not Preparing Stories

• Mistake: Going to an interview with only generic answers
• Why: Students think they can "wing it"
• How to fix: Prepare 3-4 STAR stories before the interview. Practice them aloud.
• Correct: "Tell me about a time you showed leadership" → Have a STAR story ready.

Pitfall 2: Bad Mouthing Previous Employers

• Mistake: "My last boss was terrible. The company was badly managed."
• Why: Negative emotions about past experiences
• How to fix: Stay professional. If you must discuss a negative experience, frame it as a learning opportunity.
• Correct: "That role was challenging, but I learned the importance of clear communication."

Pitfall 3: Not Asking Questions

• Mistake: "No, I don't have any questions."
• Why: You think asking questions might annoy the interviewer
• How to fix: Asking questions shows you are genuinely interested and have done your research.
• Correct: "Yes, I have a few questions. What does training look like for this role?"

5. Practice Questions

Question 1

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Situation, Task, Action, Result

Question 2

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Sample:

(S) In my second-year project, our 4-person team needed to build a data analysis tool. (T) I was responsible for the data cleaning and visualization module. (A) I organized daily stand-up meetings, created a shared task tracker, and reviewed code for two team members. (R) We completed the project two days early. Our tool was selected as the best project in the class.

Question 3

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1. Present: Who you are now (student, role, field) 2. Past: Relevant experience (projects, skills, achievements) 3. Future: Why you want this role / how you fit

Formula: "I am [present]... I have [past]... I want [future]..."

Question 4

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Crossed arms can signal defensiveness, closed-mindedness, or discomfort. Keep your arms relaxed, hands visible, and sit with an open posture.

Question 5

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Sample:

1. "What tools and technologies does the team currently use?"
2. "What would a typical first project look like for a new hire?"
3. "How does the team measure success?"
4. "What opportunities for professional development does the company offer?"

Question 6

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Formula: Real weakness + how you are improving.

Sample: "I sometimes hesitate to ask for help when I am stuck on a problem, because I want to solve it myself. I am working on this by setting a 30-minute rule — if I am stuck for more than 30 minutes, I ask a colleague. This has helped me learn faster and build better team relationships."

Question 7

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Problems:

• All clichés — every candidate says this
• No evidence — "I am dedicated" without proof
• No specifics — what does "hard worker" mean?
• Fix: Replace each claim with a specific example.

Question 8

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Within 24 hours — ideally the same evening or the next morning. It should be personalized (mention something specific from the conversation).

Question 9

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Best approach:

1. Stay calm. "That's a great question."
2. Think aloud — show your problem-solving process.
3. If you truly don't know: "I don't know the answer off the top of my head, but here is how I would approach finding out..."
4. NEVER pretend to know something you don't.

Question 10

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Sample:

"I am a second-year Data Science student at IIT Madras, currently maintaining a strong GPA. I have completed projects in Python, SQL, and machine learning — including a model that predicts student performance with 89% accuracy. I am particularly interested in this internship because I want to apply my skills to real business problems and learn from experienced professionals. I believe my technical foundation and eagerness to learn make me a strong candidate for this role."

Question 11

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Sample:

(S) During a group project, I was responsible for data analysis. (T) I needed to clean a large dataset and produce initial findings. (A) I accidentally used the wrong filtering criteria and generated incorrect summary statistics. I caught the error during our team review. I immediately corrected the data, re-ran the analysis, and implemented a checklist to verify my work in the future. (R) The final report was accurate. My team appreciated my honesty, and the checklist I created became our standard process.

Question 12

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1. Research the company and role
2. Review your resume and prepare to discuss every point
3. Practice common questions (especially Tell Me About Yourself)
4. Prepare 3-4 STAR stories
5. Plan logistics (dress, route, documents, technology for virtual interviews)

6. Cross-References

• BSHS1002 → Week 3: Business Communication — professional email etiquette
• BSHS1002 → Week 4: Presentation Skills — speaking with confidence
• BSHS1002 → Week 11: Cross-cultural Communication — interviews across cultures
• BSHS1002 → Week 12: Review and Assessment — integrated practice Join Discord PreviousCreative WritingNextCross-Cultural Communication