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I appeared for an interview in Apr 2023.
Life insurance products are financial products that provide a lump sum payment to beneficiaries upon the death of the insured individual.
Life insurance products provide financial protection for loved ones in the event of the policyholder's death.
There are different types of life insurance products, such as term life insurance, whole life insurance, and universal life insurance.
Premiums are paid by the policyholder in e...
Reserving aspects in Life insurance involve estimating future liabilities and ensuring adequate funds are set aside.
Reserving involves estimating future claims and expenses based on historical data and actuarial assumptions.
Methods used for reserving include the chain ladder method, Bornhuetter-Ferguson method, and loss ratio method.
Reserves are crucial for ensuring solvency and financial stability of an insurance comp...
Statistical written examination
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I applied via LinkedIn and was interviewed in Mar 2024. There were 2 interview rounds.
More questions about my experience & reason to join.
I applied via Recruitment Consulltant and was interviewed in Oct 2023. There were 4 interview rounds.
20 min for 25 question that are related to u r profile
Yes, I have worked with MNC clients before.
I have experience working with multinational clients in my previous roles.
I have successfully managed projects for MNC clients, delivering high-quality data analysis.
I am familiar with the challenges and requirements of working with MNC clients, such as cultural differences and complex data sets.
I have collaborated with cross-functional teams to meet the specific needs of MNC ...
Assignment on Sales data to find revenue ,split column
I have completed multiple projects in the last year.
I have completed 5 projects in the last year.
One of the projects involved analyzing customer data to identify trends and patterns.
Another project focused on optimizing inventory management using data analysis techniques.
I also worked on a project that involved creating a predictive model for sales forecasting.
In addition, I collaborated on a project to analyze social ...
First round will be aptitude test
I have a strong analytical background, excellent problem-solving skills, and a proven track record of delivering actionable insights.
I have a degree in data analytics and relevant work experience
I am proficient in statistical analysis and data visualization tools such as Python, R, and Tableau
I have successfully completed projects where I identified trends and patterns in data to drive business decisions
I applied via Walk-in and was interviewed in Aug 2024. There were 2 interview rounds.
SQL Joins are used to combine rows from two or more tables based on a related column between them.
Types of SQL Joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
INNER JOIN returns rows when there is at least one match in both tables.
LEFT JOIN returns all rows from the left table and the matched rows from the right table.
RIGHT JOIN returns all rows from the right table and the matched rows from the left tab...
Use DAX to create data modeling on inactive relationship in Power BI.
Use USERELATIONSHIP function to create an inactive relationship between two tables.
Specify the relationship between the tables and the columns to be used in the relationship.
Use CALCULATE function along with USERELATIONSHIP to perform calculations using the inactive relationship.
Duration - 60 Minutes
Topic - Advance DAX, Joints using DAX, all except all
All the questions are based on the MCQ , and the syllabus is covered python SQL Power BI
Some questions from the Pandas Data Frame scenario based
posted on 7 Feb 2017
I appeared for an interview in Dec 2016.
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
I have a Bachelor's degree in Statistics and experience in analyzing large datasets
I am proficient in using statistical software such as R and Python
I have a proven track record of identifying trends and providing actionable insights to drive business decisions
Insurance companies work by providing financial protection to individuals or organizations against potential risks or losses.
Insurance companies collect premiums from policyholders in exchange for coverage.
They assess risks and determine the appropriate premiums to charge based on factors such as age, health, and occupation.
Insurance companies invest the collected premiums to generate income and ensure they have suffic...
An actuary is a professional who assesses and manages financial risks using mathematics, statistics, and business knowledge.
Analyzing data to calculate probabilities of events such as death, sickness, injury, and property loss
Designing insurance policies and pension plans based on risk assessments
Helping companies make informed decisions on managing risks and setting premiums
Advising on investment strategies to ensure ...
India's GDP is $2.7 trillion with a growth rate of 4.2%.
India's GDP is one of the largest in the world.
As of 2020, India's GDP was $2.7 trillion.
The growth rate of India's GDP in 2020 was 4.2%.
India's GDP growth rate has been fluctuating over the years.
The COVID-19 pandemic had a significant impact on India's GDP growth.
Demonetization has pros and cons that impact various aspects of the economy and society.
Pros: Curbing black money, reducing corruption, promoting digital transactions
Cons: Initial economic disruption, inconvenience to the public, impact on informal sector
Example of a pro: Demonetization helped uncover undisclosed income and led to an increase in tax compliance.
Example of a con: Small businesses and daily wage workers f
The validity of the second data set can be verified by comparing it with the first data set.
Compare the variables in both data sets to ensure they are the same.
Check if the number of policies in the second data set matches the number stated.
Perform statistical analysis on both data sets to identify any discrepancies or inconsistencies.
Validate the accuracy of the second data set by cross-referencing it with external so
I am passionate about analyzing data and deriving insights to drive informed decision-making.
I enjoy problem-solving and critical thinking, which are essential skills for an analyst.
I have a strong attention to detail and excel at organizing and interpreting complex information.
I am interested in utilizing data to identify trends, patterns, and opportunities for improvement.
I believe that my analytical skills can contr...
I applied via Campus Placement and was interviewed before May 2020. There were 4 interview rounds.
I applied via Referral and was interviewed before Mar 2021. There were 2 interview rounds.
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