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Various optimization techniques used in the project include indexing, query optimization, caching, and parallel processing.
Indexing: Creating indexes on frequently queried columns to improve search performance.
Query optimization: Rewriting queries to make them more efficient and reduce execution time.
Caching: Storing frequently accessed data in memory to reduce the need for repeated database queries.
Parallel processing...
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I applied via Campus Placement and was interviewed before Apr 2020. There was 1 interview round.
I applied via Campus Placement and was interviewed in Mar 2023. There were 2 interview rounds.
I applied via Walk-in and was interviewed in Feb 2023. There were 2 interview rounds.
I want to work with you because of your reputation in the industry and the exciting opportunities for growth and learning.
I am impressed by your company's reputation in the industry and the positive feedback I have heard from current and former employees.
Your organization offers a dynamic and challenging work environment, which aligns with my career goals and aspirations.
I am excited about the opportunity to work with ...
Joins are used to combine rows from two or more tables based on a related column between them.
Inner Join: Returns rows when there is a match in both tables.
Left Join: Returns all rows from the left table and the matched rows from the right table.
Right Join: Returns all rows from the right table and the matched rows from the left table.
Full Outer Join: Returns rows when there is a match in one of the tables.
Cross Join:
Writing SQL queries in Python allows for seamless integration of data analysis and manipulation.
Use libraries like pandas or sqlalchemy to execute SQL queries in Python
Remember to establish a connection to the database before executing queries
Utilize Python's flexibility to manipulate and analyze data retrieved from SQL queries
I applied via Campus Placement and was interviewed before Oct 2023. There were 2 interview rounds.
Easy Aptitude and SQL questions
I applied via Naukri.com and was interviewed before Nov 2023. There was 1 interview round.
I would handle missing values by imputing them using methods like mean, median, mode, or predictive modeling.
Identify the extent of missing data in the dataset
Consider the type of missing values (completely at random, missing at random, or not missing at random)
Impute missing values using mean, median, mode, predictive modeling, or other statistical methods
Evaluate the impact of imputation on the dataset's integrity an
I would analyze sales data by identifying trends, customer behavior, and market opportunities to increase revenue.
Identify key performance indicators (KPIs) such as average order value, conversion rate, and customer acquisition cost.
Segment customers based on demographics, purchase history, and behavior to target specific groups with personalized marketing strategies.
Analyze sales channels to determine which ones are m...
I applied via Naukri.com and was interviewed in May 2024. There were 3 interview rounds.
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