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Angel One Data Scientist 2 Interview Questions, Process, and Tips for Experienced
Angel One Data Scientist 2 Interview Experiences for Experienced
1 interview found
Anonymous
I applied via Instahyre and was interviewed in Feb 2024. There were 2 interview rounds.
(2 Questions)
- 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...
- 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...
- 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...
- Ans.
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.
(2 Questions)
- 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...
- 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...
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I applied via Approached by Company and was interviewed in Apr 2024. There were 2 interview rounds.
(1 Question)
- Q1. What techonologies do you know?
- Ans.
I am proficient in SQL, Python, R, Tableau, and Excel for data analysis and visualization.
SQL
Python
R
Tableau
Excel
SQL Coding Tests. You get 3 tables and they ask you to find customer with certain conditions. Not hard
I applied via LinkedIn and was interviewed before Nov 2023. There were 2 interview rounds.
(1 Question)
- Q1. Brief me about yourself
(1 Question)
- Q1. What is your experience as a data analyst?
I applied via Referral and was interviewed in Oct 2024. There were 3 interview rounds.
Sql, python, statistical questions
(2 Questions)
- Q1. How daily work looks like?
- Ans.
Daily work involves analyzing data, creating reports, and communicating findings to stakeholders.
Reviewing and cleaning data sets
Creating visualizations and dashboards
Conducting statistical analysis
Communicating insights to non-technical stakeholders
- Q2. Most ise tools?
- Ans.
Some of the most commonly used tools for data analysis include Excel, Python, R, Tableau, and SQL.
Excel is widely used for data manipulation and analysis.
Python and R are popular programming languages for data analysis and machine learning.
Tableau is a powerful data visualization tool.
SQL is essential for querying databases and extracting data.
4 sql tasks on 3 tables. Joins, subqueries
Interview Preparation Tips
Sql mandatory
Skills evaluated in this interview
Vishwesh Dayama
(2 Questions)
- Q1. SQL Joins and remove duplicates
- Q2. Function to create a transaction bin column
- Ans.
Create a function to generate a transaction bin column based on transaction amounts.
Create bins based on transaction amounts (e.g. $0-$100, $101-$200, etc.)
Use pandas cut() function in Python to create bins
Assign bin labels to the transactions based on the bin ranges
I appeared for an interview in Mar 2025, where I was asked the following questions.
- Q1. What is the process for calculating the percentage of the first transaction in relation to subsequent transactions?
- Ans.
Calculate the percentage of the first transaction compared to subsequent transactions using a simple formula.
Identify the first transaction amount (e.g., $100).
Sum the amounts of all subsequent transactions (e.g., $200 + $150 = $350).
Use the formula: (First Transaction / Total Subsequent Transactions) * 100.
Example: ($100 / $350) * 100 = 28.57%.
This percentage indicates the first transaction's contribution to the total
- Q2. What is the method for determining the due date of a loan amount for each month?
Selected
I applied via Referral and was interviewed before Feb 2023. There were 2 interview rounds.
Credit risk default prediction
Assignment discussion and ML depth
Interview Preparation Tips
- Machine Learning
- Python
- Credit Risk
I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.
It was a basic Aptitude test, Needed to learn Probability, Permutation , Cobination and SQL.
Total Duration 1 Hour.
Selected
I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.
Nothing much just . Joins in SQL and advance Excel
(2 Questions)
- Q1. About work profile in last org
- Q2. Last org and what you know about paytm working
Interview Preparation Tips
I applied via Referral and was interviewed in Oct 2021. There was 1 interview round.
(2 Questions)
- Q1. Basic SQL and excel question.
- Q2. Questions about google data studio
Interview Preparation Tips
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Angel One Data Scientist 2 Interview Process for Experienced
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