Angel One Interview Questions, Process, and Tips for Experienced

Q1. Number of records returned by doing different types of join
Ans. 
The number of records returned by different types of joins can vary based on the relationship between the tables being joined.
• Inner join returns only the records that have matching values in both tables

• Left join returns all records from the left table and the matched records from the right table

• Right join returns all records from the right table and the matched records from the left table

• Full outer join returns all rec...read more
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Q1. Personal details introduction
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Q2. Detailed Experience about current designation
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I have been working as a Senior Process Trainer for the past 5 years, leading training sessions and developing training materials.
• Led training sessions for new hires and existing employees on various processes and systems

• Developed training materials such as manuals, presentations, and online modules

• Conducted assessments and evaluations to measure training effectiveness

• Collaborated with stakeholders to identify training...read more
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Q3. Over experience in Bpo
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Q1. Self introducing
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Q2. Past Experience in training
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Q1. 1. How to handle model overfitting and model underfitting situations ? 2. In which situations should we standardize the data and where it is not required ? 3. How does Decision Trees work ? 4. How to selec...read more
Ans. 
Answering common questions related to data science concepts and techniques.
• To handle model overfitting, one can use techniques like cross-validation, regularization, and early stopping. For model underfitting, consider using more complex models or adding more features.

• Standardizing data is important for algorithms like K-Nearest Neighbors and Support Vector Machines. It is not required for tree-based models like Decisi...read more
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Q2. 1. If you already have a lot of features and you also have categorical column what strategy will you use to encode the categorical column so that the overall feature count should not increase or should not...read more
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Use target encoding or frequency encoding to encode categorical columns without increasing feature count.
• Use target encoding: Encode categorical column with the mean of the target variable for each category.

• Use frequency encoding: Encode categorical column with the frequency of each category in the dataset.

• Both methods preserve the information of the categorical column without increasing feature count.
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Q1. 1. What are the assumptions of Linear Regression ? 2. What is the formula for Euclidean distance in K-Means ? 3. How does SVM work ? 4. How does SVM work on non linearly separable data ?
Ans. 
Answers to questions related to Linear Regression, K-Means, and SVM in data science.
• Assumptions of Linear Regression include linearity, independence, homoscedasticity, and normality of errors.

• Euclidean distance formula in K-Means is the square root of the sum of squared differences between two points.

• SVM works by finding the hyperplane that best separates the classes in the feature space.

• SVM on non-linearly separable d...read more
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Q2. What is the difference between Decision Trees and Random Forest. Why do we grow a lot of Decision Trees in a Random Forest ?
Ans. 
Decision Trees are single trees while Random Forest is a collection of trees. Random Forest grows multiple trees to improve accuracy and reduce overfitting.
• Decision Trees are individual trees that make decisions based on features of the data.

• Random Forest is an ensemble method that combines multiple Decision Trees to improve accuracy and reduce overfitting.

• Random Forest grows a lot of Decision Trees to increase diversi...read more
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Q1. Previous company
Ans. 
I worked at XYZ Corp as a Relationship Manager for 3 years.
• Managed a portfolio of high net-worth clients

• Developed and maintained relationships with clients to understand their financial goals

• Provided personalized financial advice and solutions to clients

• Collaborated with internal teams to ensure client satisfaction
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Q2. Previous experience
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Q1. What is my qualifications
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I have a Bachelor's degree in Business Administration and 5 years of experience in sales and business development.
• Bachelor's degree in Business Administration

• 5 years of experience in sales and business development
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Q2. What is my experience
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I have over 5 years of experience in business development, with a focus on client acquisition and retention.
• Developed and implemented successful client acquisition strategies

• Managed key client accounts to ensure satisfaction and retention

• Collaborated with cross-functional teams to drive business growth

• Participated in industry events and networking opportunities to expand client base
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Q3. What is my salary expectations
Ans. 
My salary expectations are based on my experience, skills, and the market rate for the position.
• Consider my years of experience in the industry

• Research the average salary range for similar positions in the market

• Factor in any additional skills or qualifications I bring to the role
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Q4. I am comfortable for this job or not
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Q5. Till now no option for marriage
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I was asked two DSA questions and duration was of one hour.
1. Calculate Sum of edges of LinkedList
2. Given a list of numbers, find out all the pythagorean triplets.

This was also a DSA round for 1 hour and expected to solve two problems (Medium)

This was a system design round for one hour