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AEP (Annual Enrollment Period) and OEP (Open Enrollment Period) are key times for health insurance enrollment.
AEP is a specific time frame for Medicare beneficiaries to enroll or change plans, typically from October 15 to December 7.
OEP refers to the period when individuals can enroll in or change their health insurance plans, often occurring in January.
For example, during AEP, seniors can switch from Original Med...
Cat modelling involves assessing and quantifying the risk of catastrophic events to inform insurance and risk management strategies.
Utilizes statistical methods to predict the frequency and severity of catastrophic events.
Commonly used in the insurance industry to evaluate risks from natural disasters like hurricanes and earthquakes.
Involves the use of historical data and simulation models to estimate potential lo...
HAVING is used with GROUP BY to filter groups, WHERE is used to filter rows
HAVING is used with GROUP BY clause to filter groups based on aggregate functions
WHERE is used to filter rows based on conditions
HAVING is applied after GROUP BY, WHERE is applied before GROUP BY
Example: SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000
Example: SELECT * FROM employees WHERE age ...
K value for KNN algo can be selected using techniques like cross-validation, grid search, and elbow method.
Use cross-validation to find the optimal K value by splitting the data into training and validation sets multiple times.
Perform grid search by testing a range of K values and selecting the one with the highest accuracy.
Apply the elbow method by plotting the K values against the error rate and selecting the K ...
Hashing is a process of converting input data into a fixed-size string of characters using a mathematical algorithm.
Hashing is used to securely store passwords by converting them into a hash value that cannot be reversed to reveal the original password.
Hashing is also used in data retrieval systems to quickly locate data by converting the data into a unique hash value that serves as an index.
Common hashing algorit...
I treat risk by conducting thorough analysis, implementing risk mitigation strategies, and staying informed of industry trends.
Conducting comprehensive risk assessments to identify potential hazards
Developing risk mitigation strategies to minimize potential losses
Staying informed of industry trends and regulatory changes to adapt risk management practices
Utilizing advanced modelling techniques to quantify and mana...
Flood insurance is a type of insurance coverage that protects property owners from financial losses due to flooding.
Flood insurance is separate from standard homeowners insurance policies
It covers damage to a building and its contents caused by flooding
Flood insurance may be required for properties located in high-risk flood zones
It is typically purchased through the National Flood Insurance Program (NFIP) or priv...
Cat modeling involves creating statistical models to analyze feline behavior, health, and genetics.
Behavioral models: Analyze how cats interact with their environment, e.g., using reinforcement learning.
Health models: Predict disease susceptibility based on genetics, e.g., using logistic regression.
Population models: Estimate cat populations in urban areas, e.g., using mark-recapture methods.
Genetic models: Study ...
I applied via Campus Placement and was interviewed in Jul 2024. There were 3 interview rounds.
Quant ,reasoning and english questions level of difficulty is easy
Mcqs on Machine learning were asked in depth questions were asked
K value for KNN algo can be selected using techniques like cross-validation, grid search, and elbow method.
Use cross-validation to find the optimal K value by splitting the data into training and validation sets multiple times.
Perform grid search by testing a range of K values and selecting the one with the highest accuracy.
Apply the elbow method by plotting the K values against the error rate and selecting the K value...
HAVING is used with GROUP BY to filter groups, WHERE is used to filter rows
HAVING is used with GROUP BY clause to filter groups based on aggregate functions
WHERE is used to filter rows based on conditions
HAVING is applied after GROUP BY, WHERE is applied before GROUP BY
Example: SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000
Example: SELECT * FROM employees WHERE age > ...
I applied via Campus Placement and was interviewed in Aug 2024. There were 2 interview rounds.
Aptitude and techical
I applied via Company Website and was interviewed in Jul 2024. There were 3 interview rounds.
I had a few questions regarding statistics and probability, along with one question each on Python and SQL.
Designing and implementing a real-time data processing system for a large e-commerce platform
Developing scalable data pipelines to process and analyze millions of transactions daily
Optimizing data storage and retrieval for fast query performance
Implementing real-time monitoring and alerting to ensure data accuracy and reliability
I would improve my previous project by implementing automated testing, optimizing data processing algorithms, and enhancing data visualization.
Implement automated testing to catch bugs early on
Optimize data processing algorithms for better performance
Enhance data visualization for improved insights
Collect feedback from users for further improvements
Cat modelling involves assessing and quantifying the risk of catastrophic events to inform insurance and risk management strategies.
Utilizes statistical methods to predict the frequency and severity of catastrophic events.
Commonly used in the insurance industry to evaluate risks from natural disasters like hurricanes and earthquakes.
Involves the use of historical data and simulation models to estimate potential losses.
...
Cat modeling involves creating statistical models to analyze feline behavior, health, and genetics.
Behavioral models: Analyze how cats interact with their environment, e.g., using reinforcement learning.
Health models: Predict disease susceptibility based on genetics, e.g., using logistic regression.
Population models: Estimate cat populations in urban areas, e.g., using mark-recapture methods.
Genetic models: Study inher...
I appeared for an interview in Dec 2024, where I was asked the following questions.
I applied via Campus Placement and was interviewed in Nov 2023. There was 1 interview round.
Hashing is a process of converting input data into a fixed-size string of characters using a mathematical algorithm.
Hashing is used to securely store passwords by converting them into a hash value that cannot be reversed to reveal the original password.
Hashing is also used in data retrieval systems to quickly locate data by converting the data into a unique hash value that serves as an index.
Common hashing algorithms i...
I applied via LinkedIn and was interviewed in May 2023. There were 3 interview rounds.
I appeared for an interview in Apr 2024, where I was asked the following questions.
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The duration of Verisk Analytics interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 20 interview experiences
Difficulty level
Duration
based on 74 reviews
Rating in categories
8-10 Yrs
₹ 26.5-27 LPA
6-8 Yrs
Not Disclosed
5-7 Yrs
Not Disclosed
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| ₹7 L/yr - ₹13.4 L/yr |
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