Internshala Interview Questions, Process, and Tips

Q1. Tell me about yourself ?
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Experienced inside sales executive with a proven track record of exceeding sales targets and building strong client relationships.
• Over 5 years of experience in inside sales roles

• Consistently met or exceeded sales targets by 20% each quarter

• Built and maintained strong relationships with clients, resulting in a 90% client retention rate

• Proficient in CRM software and sales analytics tools
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Q2. Why do you want to for internshala ?
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I want to work for Internshala because of its reputation for providing valuable learning opportunities and a platform to connect with industry professionals.
• Internshala is known for offering internships that provide hands-on experience in various fields.

• I am impressed by Internshala's commitment to helping students and young professionals enhance their skills and build their careers.

• I believe working at Internshala wil...read more
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Q3. Why did you choose sales ?
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I chose sales because I enjoy building relationships, meeting new people, and helping customers find solutions to their needs.
• Enjoy building relationships with clients

• Thrives on meeting new people and networking

• Enjoys problem-solving and finding solutions for customers

• Passionate about helping others achieve their goals
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Q4. And few family and educational background question
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Q1. Second round was with an arrogant lady(sales team leader) I don't remember that stup...d girl name
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Q2. Basically the round was all about pitching the products
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Q3. When I startes to pitch with that stpd lady (she was a customer in that scenario) about digital marketing she started saying "I am not interested in this program and I have 3 years experience in this field...read more
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Q4. May any one tell me that where I was wrong? As I was a fresher guy. And fortunately , before 1 day of interview, an inside sales executive from Internshala called me for same program ( digital marketing) ...read more
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Q5. HR in first round was respectable and great.
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It was about 15 minutes asked some question, 1.create a universal notification for your project , so that we can use anywhere, 2.Sorting and Searching 3.MongoDB Agreegration

Q1. Not yet done /complete .
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Q1. SQL question difference between having and where
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Q1. What is Left Join?
Ans. 
Left Join is a type of join operation in SQL that returns all rows from the left table and the matched rows from the right table.
• Left Join combines rows from two tables based on a related column between them.

• It includes all rows from the left table, even if there are no matches in the right table.

• If there are no matches, NULL values are included for columns from the right table.

• Example: SELECT * FROM table1 LEFT JOIN t
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Q2. What is the Execution Order in SQL Queries?
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SQL queries are executed in a specific order to ensure accurate results.
• SQL queries are executed in the following order: FROM, WHERE, GROUP BY, HAVING, SELECT, ORDER BY.

• The FROM clause specifies the tables involved in the query.

• The WHERE clause filters the rows based on specified conditions.

• The GROUP BY clause groups the rows based on specified columns.

• The HAVING clause filters the grouped rows based on specified condi...read more
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Q3. The 25 Horse Problem.
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Q4. A problem related to relative speed.
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Q5. Describe the project you worked on.
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Developed a predictive analytics model for customer churn in a telecom company.
• Collected and cleaned customer data from various sources

• Performed exploratory data analysis to identify patterns and trends

• Built a machine learning model to predict customer churn

• Evaluated the model's performance using metrics like accuracy and precision

• Provided actionable insights to reduce customer churn rate
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Q6. What approach did you take and why?
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I took a structured approach by first defining the problem, collecting relevant data, analyzing the data, and then presenting findings.
• Defined the problem statement clearly to understand the scope of analysis

• Collected relevant data from various sources such as databases, surveys, and external research

• Analyzed the data using statistical tools and techniques to derive insights

• Presented findings in a clear and concise man
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Q7. Which machine learning models did use see and why?
Ans. 
I have experience with various machine learning models such as linear regression, decision trees, random forests, and neural networks.
• Linear regression is used for predicting continuous outcomes.

• Decision trees are used for classification and regression tasks.

• Random forests are an ensemble method that combines multiple decision trees for improved accuracy.

• Neural networks are used for complex pattern recognition and pred
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