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I applied via Campus Placement and was interviewed in Aug 2024. There were 4 interview rounds.
It was having basic aptitude questions
HAVING clause is used with GROUP BY to filter grouped rows, WHERE clause is used to filter individual rows.
HAVING clause is used with GROUP BY to filter grouped rows based on aggregate functions
WHERE clause is used to filter individual rows based on conditions
HAVING clause is applied after GROUP BY, WHERE clause is applied before GROUP BY
HAVING clause can only be used with SELECT statement that contains a GROUP BY clau
Arrays store elements in contiguous memory, while linked lists use nodes with pointers. Stacks follow LIFO, queues follow FIFO.
Arrays store elements in contiguous memory locations, allowing for constant time access to elements using indices.
Linked lists use nodes with pointers to the next node, allowing for dynamic memory allocation and insertion/deletion at any position.
Stacks follow Last In First Out (LIFO) principle...
I am a data science enthusiast with a strong background in statistics and machine learning.
Completed coursework in data analysis, statistical modeling, and predictive analytics
Proficient in programming languages such as Python, R, and SQL
Experience with data visualization tools like Tableau and Power BI
Worked on projects involving regression analysis, clustering, and classification algorithms
I am passionate about using data to solve complex problems and make informed decisions.
I have a strong background in statistics, mathematics, and programming, which are essential skills for a data science role.
I am excited about the opportunity to work with real-world data and apply machine learning algorithms to extract valuable insights.
I am eager to learn from experienced data scientists and contribute to innovative
I applied via Campus Placement and was interviewed in Mar 2024. There were 2 interview rounds.
Verbal reasoning is a type of aptitude test that assesses your ability to understand,analyze,and interpret written information.
I am a data science enthusiast with a strong background in statistics and machine learning.
Completed coursework in data analysis, statistical modeling, and predictive analytics
Proficient in programming languages such as Python, R, and SQL
Experience with data visualization tools like Tableau and Power BI
Completed projects involving regression analysis, clustering, and classification algorithms
Developed a machine learning model to predict customer churn for a telecom company.
Used Python and scikit-learn for data preprocessing and model building
Performed feature engineering to create new variables for the model
Evaluated model performance using metrics like accuracy, precision, and recall
I am passionate about data science and believe in the impact it can have on driving insights and decision-making.
I am excited about the opportunity to work with a team of experienced data scientists and learn from their expertise.
I am impressed by the innovative projects and cutting-edge technologies that your company is involved in.
I am eager to apply my skills and knowledge in data science to real-world problems and
I remain calm by actively listening, staying patient, and focusing on finding common ground.
Practice active listening to understand their perspective
Stay patient and avoid reacting emotionally
Focus on finding common ground or a solution to the issue
Use positive body language and tone of voice to convey understanding and empathy
I applied via Campus Placement and was interviewed before Aug 2022. There were 2 interview rounds.
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I applied via Campus Placement and was interviewed in Oct 2022. There were 4 interview rounds.
SQL and quant, logical questions were asked.
I applied via Recruitment Consulltant and was interviewed in May 2024. There was 1 interview round.
Basic quants test had to attend.
Round 1 Aptitude Test. They Ask Total 24 questions There are Aptitude and Verbal, One Codding question related To Sql Joins.
I applied via Company Website and was interviewed before Jan 2024. There were 2 interview rounds.
SQL Test
3 questions for Solution using SQL queries.
Window functions in SQL are used to perform calculations across a set of table rows related to the current row.
Window functions are used to calculate values based on a specific subset of rows within a table.
They are commonly used with aggregate functions like SUM, AVG, and COUNT.
Examples of window functions include ROW_NUMBER(), RANK(), and NTILE().
I created a KPI to measure customer retention rate.
Developed formula to calculate percentage of customers retained over a specific period
Monitored customer churn rate to track effectiveness of retention strategies
Analyzed customer feedback and behavior to identify factors influencing retention
Implemented initiatives to improve customer retention based on data insights
I appeared for an interview before Feb 2024.
The platform used was Deselect, which featured questions on Python, SQL, and aptitude.
SQL commands are used to interact with databases to perform various operations like querying, updating, and deleting data.
SELECT: Retrieves data from a database
INSERT INTO: Adds new records to a table
UPDATE: Modifies existing records in a table
DELETE: Removes records from a table
CREATE TABLE: Creates a new table in the database
ALTER TABLE: Modifies an existing table structure
DROP TABLE: Deletes a table from the databas
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