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I applied via Job Portal and was interviewed in Jun 2023. There were 3 interview rounds.
Aptitude test is a way for employers to assess a candidate's abilities through a variety of different testing formats. Aptitude tests will test your ability to perform tasks and react to situations at work. This includes: problem-solving.
I applied via Company Website and was interviewed in May 2019. There were 5 interview rounds.
The weight of an aircraft is crucial for its performance and safety.
The weight of an aircraft includes the weight of the aircraft itself, fuel, passengers, cargo, and any other equipment on board.
The weight of an aircraft is measured in pounds or kilograms.
The weight of an aircraft affects its takeoff and landing performance, as well as its fuel efficiency and range.
Aircraft manufacturers provide maximum takeoff and la...
I was interviewed before Nov 2019.
SQL query to get top 100 Uber drivers by city
Join drivers and users tables on city
Aggregate driver ratings and count of rides
Order by rating and count of rides
Limit to top 100
Optimizing the listing of Restaurants on Swiggy involves using data-driven strategies to improve visibility, relevance, and user experience.
Analyze user behavior and preferences to understand their needs and preferences
Implement a ranking algorithm based on factors like ratings, reviews, popularity, and delivery time
Optimize search functionality to ensure accurate and relevant results
Collaborate with restaurants to imp...
Linear Regression is used for continuous data while Logistic Regression is used for categorical data.
Linear Regression predicts continuous values while Logistic Regression predicts probabilities.
Linear Regression uses a straight line to fit the data while Logistic Regression uses an S-shaped curve.
Linear Regression uses Mean Squared Error as the cost function while Logistic Regression uses Log Loss.
Linear Regression is...
Bias-Variance trade-off is the balance between overfitting and underfitting. High bias models are simple but inaccurate, low variance models are complex but overfit.
Bias-Variance trade-off is a fundamental concept in machine learning.
High bias models are simple and have low variance, but are inaccurate.
Low bias models are complex and have high variance, but can overfit the data.
Examples of high bias models are linear r...
Possible reasons for a car manufacturer's decline in profits by 40% year over year
Decreased demand for cars due to economic downturn
Increased competition from other car manufacturers
Rising production costs and expenses
Decline in consumer confidence and spending
Changes in government regulations impacting the automotive industry
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...
I was interviewed in Mar 2021.
Steps involved in analyzing decrease in sales for a particular area
Identify the time period for which sales have decreased
Analyze the sales data for the area and compare it with previous periods
Identify any external factors that may have contributed to the decrease in sales
Conduct customer surveys to identify any issues with products or services
Analyze competitor activity in the area
Develop a plan to address the issues...
SQL query to find mean waiting period for delivery partner given driver ID, ordered time and delivered time.
Use AVG function to calculate mean waiting period
Subtract ordered time from delivered time to get waiting period
Filter data by driver ID and delivery partner
Group by delivery partner
Rolling sum query adds up a specified number of rows in a table based on a given condition.
Use the OVER() function to specify the window frame for the rolling sum.
Specify the number of rows to include in the window frame using ROWS BETWEEN.
Use ORDER BY to specify the order of rows in the window frame.
Example: SELECT column1, SUM(column2) OVER (ORDER BY column1 ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS rolling_sum FR
I was interviewed in Nov 2021.
Round duration - 60 minutes
Round difficulty - Easy
Prepare well for SQL, you have to be strong in SQL. Questions related to SQL and A/B testing were asked.
Query to calculate rolling sum
Use window functions like SUM() OVER() in SQL
Specify the window frame to define the range for the rolling sum
Example: SELECT date, value, SUM(value) OVER (ORDER BY date ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS rolling_sum FROM table_name
Tip 1 : Must do Previously asked Interview as well as Online Test Questions.
Tip 2 : Prepare well for SQL, you have to be strong in SQL.
Tip 3 : Do at-least 2 good projects and you must know every bit of them.
Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.
I applied via LinkedIn and was interviewed before May 2020. There was 1 interview round.
The amount of work experience is an important factor in determining the suitability of a candidate for the Business Analyst role.
Work experience helps in developing a deep understanding of business processes and industry trends.
It allows the candidate to gain practical knowledge and skills in data analysis, problem-solving, and project management.
Having relevant work experience demonstrates the ability to work effectiv...
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