i
Paisabazaar.com
Filter interviews by
Clear (1)
I applied via Job Portal
SQL and Python data analysis questions
Matching data in different columns involves comparing the values in the columns and identifying similarities or patterns.
Use string matching techniques like exact match, partial match, or fuzzy matching.
Apply data cleaning and preprocessing techniques to standardize the data before matching.
Utilize advanced algorithms like Levenshtein distance or Jaccard similarity for more complex matching.
Consider using database join...
Top trending discussions
I applied via Company Website and was interviewed in Jul 2023. There were 4 interview rounds.
Number sires, clock, logic, arithmetic, geometry
Code test basic, ans the basic knowledge, write code
Python is a high-level programming language known for its simplicity and readability.
Python is widely used for web development, data analysis, artificial intelligence, and scientific computing.
It emphasizes code readability and uses indentation to define code blocks.
Python has a large standard library and a vibrant community of developers.
Example: print('Hello, World!')
Example: import pandas as pd
Python is a versatile programming language used for data analysis, web development, artificial intelligence, automation, and more.
Data analysis and visualization
Web development (Django, Flask)
Artificial intelligence and machine learning (TensorFlow, PyTorch)
Automation and scripting
Scientific computing (NumPy, SciPy)
Python is a high-level programming language known for its simplicity and readability.
Python is an interpreted language, meaning it does not need to be compiled before running.
It supports multiple programming paradigms, including object-oriented, imperative, and functional programming.
Python has a large standard library and a thriving community, making it versatile and widely used.
Example: Python is used for web develop...
Object-oriented programming (OOP) is a programming paradigm based on the concept of 'objects', which can contain data and code.
OOP allows for the organization of code into reusable components called classes.
Classes can have attributes (variables) and methods (functions) associated with them.
In Python, everything is an object, and classes can be defined using the 'class' keyword.
Encapsulation, inheritance, and polymorph
An array in Python is a data structure that stores a collection of elements of the same type.
Arrays can store elements such as integers, floats, or strings.
Arrays are indexed starting from 0, with elements accessed using their index.
Example: arr = ['apple', 'banana', 'cherry']
I applied via Referral and was interviewed in Mar 2023. There were 2 interview rounds.
I have 3 years of experience as a data analyst in the finance industry.
Worked with large datasets to extract meaningful insights
Performed data cleaning, transformation, and visualization
Created and maintained dashboards and reports for stakeholders
Conducted statistical analysis and built predictive models
Collaborated with cross-functional teams to identify business opportunities
I have strong skills in data analysis, including proficiency in statistical analysis, data visualization, and programming languages such as Python and SQL.
Proficient in statistical analysis techniques
Skilled in data visualization using tools like Tableau
Strong programming skills in Python and SQL
Experience with data cleaning and preprocessing
Ability to interpret and communicate insights from data
Familiarity with machin...
I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.
SQL query optimisation
Mean, median, and mode are common statistical measures used to describe the central tendency of a dataset in Python.
Mean is the average of all the numbers in a dataset. It is calculated by summing all the numbers and dividing by the total count.
Median is the middle value of a dataset when it is ordered from smallest to largest. If there is an even number of values, the median is the average of the two middle values.
Mod...
posted on 7 Feb 2017
I was interviewed 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 Naukri.com and was interviewed in Jan 2022. There were 2 interview rounds.
I applied via Referral and was interviewed before May 2020. There was 1 interview round.
To understand the supply of restaurants in a particular area of a city, we can use various methods.
Collect data from online directories like Yelp, Zomato, etc.
Conduct surveys to gather information about the number of restaurants in the area.
Analyze the population density and demographics of the area to estimate the demand for restaurants.
Check the number of restaurant permits issued by the local government.
Use GIS mapp...
based on 1 interview
Interview experience
based on 2 reviews
Rating in categories
Sales Executive
816
salaries
| ₹0 L/yr - ₹0 L/yr |
Associate Sales Consultant
709
salaries
| ₹0 L/yr - ₹0 L/yr |
Team Lead
218
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Executive
211
salaries
| ₹0 L/yr - ₹0 L/yr |
Sales Consultant
208
salaries
| ₹0 L/yr - ₹0 L/yr |
CreditMantri
CIBIL
Life Insurance Corporation of India
HDFC Life