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Verisk Financial Data Scientist Interview Questions and Answers
Verisk Financial Data Scientist Interview Experiences
1 interview found
Anonymous
I applied via Recruitment Consultant and was interviewed in Mar 2021. There were 4 interview rounds.
Interview Questionnaire
4 Questions
- Q1. Details on the past projects
- Q2. Why did I do certain procedures whatever I have done like missing value imputation techniques and diving deeper with that.
- Q3. SQL questions
- Q4. 5 Aptitude questions in the 1st round. What are various sampling techniques. Various performance metrics of classification and regression problems.
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Data Analyst Interview Questions & Answers
Stock Holding Corporation of India
Pranav Kulkarni (PGDM 22-24)
posted on 13 Apr 2024
(2 Questions)
- Q1. Why data analysis and data science
- Ans.
Data analysis and data science are crucial for extracting valuable insights from large datasets to drive informed decision-making.
Data analysis and data science help in uncovering patterns and trends within data.
They enable businesses to make data-driven decisions for improved efficiency and effectiveness.
These fields also play a vital role in predictive analytics and forecasting.
Examples include using machine learning...
- Q2. Why pgdm in business analytics
- Ans.
PGDM in Business Analytics provides specialized knowledge and skills for analyzing data to drive business decisions.
Specialized curriculum focusing on data analysis techniques and tools
Hands-on experience with real-world data sets
Opportunities for networking with industry professionals
Career advancement in the field of business analytics
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed before Apr 2023. There was 1 interview round.
(1 Question)
- Q1. Explain Pyspark code execution flow Explaing Project architecture Explaing Narrow vs Wide transformation Query to find second highest salary
- Ans.
Pyspark code execution flow involves transformations and actions, project architecture includes components like data sources and processing, narrow transformations operate on a single partition while wide transformations shuffle data, query for second highest salary involves using window functions.
Pyspark code execution flow involves defining transformations and actions on RDDs or DataFrames.
Project architecture typica...
Interview Preparation Tips
Skills evaluated in this interview
Aman Sharma
I applied via LinkedIn and was interviewed in Feb 2024. There were 2 interview rounds.
Focus on little bit of dynamic programming
(5 Questions)
- Q1. Apache spark architecture and ecosystem along with memory management
- Q2. SQL queries for manager salary
- Q3. Python decorators --> @
- Q4. RANK and other window functions
- Q5. Joins along with use case
- Ans.
Joins are used in SQL to combine rows from two or more tables based on a related column between them.
Joins are used to retrieve data from multiple tables based on a related column
Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
Use cases for joins include combining customer data with order data, merging employee information with department details
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed in Feb 2023. There were 3 interview rounds.
Sql queries and python programs
(1 Question)
- Q1. This round is about work experiences and some scenario based questions.
Interview Preparation Tips
I applied via Campus Placement and was interviewed before Feb 2019. There were 3 interview rounds.
Interview Questionnaire
4 Questions
- Q1. 1. How to choose optimum probability threshold from ROC?
- Ans.
To choose optimum probability threshold from ROC, we need to balance between sensitivity and specificity.
Choose the threshold that maximizes the sum of sensitivity and specificity
Use Youden's J statistic to find the optimal threshold
Consider the cost of false positives and false negatives
Use cross-validation to evaluate the performance of different thresholds
- Q2. 2. How to test time series trend break up?
- Ans.
To test time series trend break up, statistical tests like Augmented Dickey-Fuller test can be used.
Augmented Dickey-Fuller test can be used to check if a time series is stationary or not.
If the time series is not stationary, we can use differencing to make it stationary.
After differencing, we can again perform the Augmented Dickey-Fuller test to check for stationarity.
If there is a significant change in the mean or va...
- Q3. 3. How do you deal with senior customer when you don't have enough data?
- Ans.
Communicate transparently and offer alternative solutions.
Explain the limitations of the available data and the potential risks of making decisions based on incomplete information.
Offer alternative solutions that can be implemented with the available data.
Collaborate with the customer to identify additional data sources or explore other options to gather more data.
Provide regular updates on the progress of data collect...
- Q4. 4. Do you prefer working in clear defined goal space or where customer isn't sure what he wants?
Interview Preparation Tips
Skills evaluated in this interview
ritika singh
I applied via Naukri.com and was interviewed in Apr 2021. There were 5 interview rounds.
Interview Questionnaire
1 Question
- Q1. Sql and python basics
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Apr 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Difference between probability density function and mass function
- Ans.
Probability density function is for continuous random variables while mass function is for discrete random variables.
Probability density function gives the probability of a continuous random variable taking a certain value within a range.
Mass function gives the probability of a discrete random variable taking a certain value.
Probability density function integrates to 1 over the entire range of the random variable.
Mass ...
Interview Preparation Tips
I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.
(1 Question)
- Q1. Difference between CNN and MLP
- Ans.
CNN is used for image recognition while MLP is used for general classification tasks.
CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.
CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.
CNN has fewer parameters than MLP due to weight sharing in convolutional layers.
CNN can handle input of varying
Interview Preparation Tips
Skills evaluated in this interview
I applied via Naukri.com and was interviewed before Mar 2021. There was 1 interview round.
(1 Question)
- Q1. About Resume and basic ML
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