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I was interviewed in Feb 2023.
1. Ravi's salary, wgich is more than Rs.10,000, is 80% of Divya's salary. Jai's salary is 80% of Ravi's salary.
Quantity 1: Jai's salary.
Quantity 2: Ravi's salary.
1.Quantity 1 >Quantity 2
2.Quantity 1
3.Quantity 1 ≤Quantity 2
4.Quantity 1 Quantity 2
5.Quantity 1 =Quantity 2 or No relation can
be established.
2. The average marks of M, N and O are 428. The total marks of N and O is 854 and sum of marks of O and M is 914.
Quantity 1: The marks of M
Quantity 2: The marks of O
1.Quantity 1 >Quantity 2
2.Quantity 1
3.Quantity 1
4.Quantity 1 Quantity 2
5.Quantity 1 =Quantity 2 or No relation can be established.
3. Two pipes P and Q can fill the tank in 4 and 2 mins respectively.Both the pipes are opened simultaneously. The bucket is filed in 1 mins.
Quantity 1: If B is turned off after how many
minutes.
Quantity 2: If A is turned off after how many
minutes.
1.Quantity 1 >Quantity 2
2.Quantity 1
3.Quantity 1 ≤Quantity 2
4.Quantity 1 Quantity 2
5.Quantity 1 =Quantity 2 or No relation can be established.
4. (solve as per the direction given above)
1.We discussed about the problem so thoroughly.
2.on the eve of the examination.
3.that I found it very easy to work it out.
4.No error.
5. (solve as per the direction given above)
1. An Indian ship
2.laden with merchandise
3.got drowned in the Pacific Ocean.
4. No error.
1. What is a data structure?
2. What is an array?
3. What is a linked list?
by which command we can close the active workbook?
1. ctrl + w
2. ctrl+s
3. ctrl + f
4. ctrl + v
4.write a program to count the number of occurrences of character in a string in python?
5.Write a program to find factorial of a number in Python?
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
Create calculated fields in Tableau to dynamically adjust to changing table columns.
Use calculated fields to reference specific columns by name instead of position.
Utilize parameters to allow users to select which columns to display.
Consider using custom SQL queries to dynamically adjust to changing table structure.
Developed a predictive model to forecast customer churn for a telecommunications company.
Utilized machine learning algorithms such as logistic regression and random forest
Performed data preprocessing and feature engineering to improve model performance
Collaborated with business stakeholders to understand key drivers of churn
Achieved 85% accuracy in predicting customer churn
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.
I have a background in data analysis with experience in using tools like Python, SQL, and Tableau.
I have a degree in Statistics and have worked as a Data Analyst for 3 years.
My daily activities include cleaning and analyzing data, creating visualizations, and presenting insights to stakeholders.
I use Python for data manipulation and analysis, SQL for querying databases, and Tableau for creating interactive dashboards.
I...
Advanced Excel and Power BI are tools used for data analysis and visualization in companies and for clients.
Advanced Excel allows for complex data manipulation, analysis, and visualization using features like pivot tables, macros, and VBA programming.
Power BI is a business analytics tool that provides interactive visualizations and business intelligence capabilities, connecting to various data sources.
These tools are u...
I have extensive experience in using Advanced Excel and Power BI for data analysis projects.
Created complex formulas and macros in Excel to automate data processing tasks
Designed interactive dashboards in Power BI to visualize and analyze data trends
Integrated data from multiple sources into Power BI for comprehensive analysis
Used Power Query and Power Pivot in Excel to manipulate and analyze large datasets
Provided dat...
Credit and operations concepts in relation to KYC procedures and client data privacy.
Credit refers to the extension of money or resources to a client based on their financial history and ability to repay.
Operations involve the day-to-day processes and procedures within a financial institution to ensure smooth functioning.
KYC procedures are used to verify the identity of clients to prevent fraud and money laundering.
Pri...
I applied via AmbitionBox and was interviewed in Nov 2024. There were 3 interview rounds.
NLP is my favorite subject. Is relatated medical and sign language. I have done reseach with mechien learning and AI TOOLS used for problem solving approach.
A group discussion was conducted on data-based management regarding Mr. Adani's food industry products in the state of Gujarat and their exports to other countries, utilizing data analytics.
Sql python bigdata hadoop hive spark
1 hour simple coding python sql
SQL allows for efficient data retrieval, manipulation, and analysis in relational databases.
SQL is widely used in querying databases to retrieve specific data.
It allows for data manipulation, such as adding, updating, and deleting records.
SQL can perform complex data analysis tasks, such as aggregations and joins.
It provides a standardized language for interacting with relational databases.
SQL is essential for generati...
Python is a versatile programming language known for its simplicity, readability, and vast library support.
Easy to learn and use, making it ideal for beginners and experienced programmers alike
Extensive library support for data analysis, machine learning, web development, and more
Strong community support with active forums and resources for problem-solving
Cross-platform compatibility allows for seamless integration wit...
Spark is a fast and powerful big data processing framework that offers benefits like speed, ease of use, and versatility.
Spark is known for its speed, as it can process data up to 100 times faster than traditional Hadoop MapReduce.
It offers ease of use with high-level APIs in Java, Scala, Python, and SQL, making it accessible to a wide range of users.
Spark is versatile, supporting various workloads such as batch proces...
Huddles of data engineers refer to collaborative meetings or discussions among data engineers to share insights, solve problems, and make decisions.
Huddles are typically informal and can be scheduled or ad-hoc.
They provide a platform for data engineers to brainstorm, troubleshoot, and exchange ideas.
Huddles may involve reviewing code, discussing data pipelines, or addressing technical challenges.
Effective huddles promo...
I applied via Walk-in and was interviewed in Nov 2024. There were 2 interview rounds.
Online aptitude test with maths and statistics and data analysis
I applied via Campus Placement and was interviewed in Nov 2024. There was 1 interview round.
Logical,verbal,quants
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
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