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I applied via Approached by Company and was interviewed before Oct 2022. There were 4 interview rounds.
Find subarray with given sum in an unsorted array
Use a sliding window approach to iterate through the array
Keep track of the current sum and adjust the window based on the sum
Return the subarray when the sum matches the given sum
Partitioning is the process of dividing a large dataset into smaller, more manageable parts based on certain criteria.
Partitioning helps in improving query performance by allowing parallel processing of data
It can be done based on date, region, or any other relevant criteria
Examples include partitioning a sales database by year or partitioning a log file by date
Top trending discussions
I applied via Referral and was interviewed before Jun 2023. There were 2 interview rounds.
Joins in SQL are used 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 between them
Types of 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
...
Normalisation is the process of organizing data in a database to reduce redundancy and improve data integrity.
Normalisation involves breaking down data into smaller, more manageable tables
It helps in reducing data redundancy by storing data in a structured way
It improves data integrity by ensuring that each piece of data is stored in only one place
Normalization is usually done in multiple stages (1NF, 2NF, 3NF, etc.) t...
Questions mostly revolved around pandas and numpy.
Test duration of 1 hour based on probability and control statements
I have prior knowledge about various machine learning algorithms.
Linear Regression
Logistic Regression
Decision Trees
Random Forests
Support Vector Machines
Naive Bayes
K-Nearest Neighbors
Gradient Boosting
Neural Networks
I have studied and used various data visualization techniques including bar charts, line graphs, scatter plots, and heat maps.
I have experience creating bar charts to compare data across categories
I have used line graphs to show trends over time
I have created scatter plots to identify correlations between variables
I have used heat maps to visualize data density and identify patterns
Sql test in Hackerrank
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 Company Website and was interviewed in Jun 2024. There was 1 interview round.
Implement your own state management in React and integrate it into a React application.
I applied via Job Portal and was interviewed before Jun 2022. There were 2 interview rounds.
In the second technical round interview asked me about advanced sql topics, theory questions and two coding questions in joins and window functions.
Lists and Trees were asked
I applied via Campus Placement and was interviewed in Jul 2024. There were 2 interview rounds.
3 questions easy-medium level leetcode problem I solved 2 completely and 3rd question partially (9/15 test cases passed) to move on to 2nd round
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