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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 Recruitment Consulltant and was interviewed before Jul 2021. There were 2 interview rounds.
I appeared for an interview in Apr 2025, where I was asked the following questions.
Data analytics involves examining datasets to draw conclusions, identify trends, and support decision-making.
Data Collection: Gathering data from various sources, e.g., surveys, databases.
Data Cleaning: Removing inaccuracies and inconsistencies, e.g., correcting typos in a dataset.
Data Analysis: Applying statistical methods to interpret data, e.g., using regression analysis to predict sales.
Data Visualization: Creating...
A program for data analysis involves collecting, processing, and interpreting data to derive insights.
Define the objective: Understand what questions you want to answer with the data.
Collect data: Gather data from various sources like databases, APIs, or surveys.
Clean the data: Remove duplicates, handle missing values, and correct inconsistencies.
Analyze the data: Use statistical methods or data visualization tools to ...
I applied via Approached by Company and was interviewed before May 2023. There was 1 interview round.
SQL query to find the top 5 employee having the max salary
I applied via AmbitionBox and was interviewed in Nov 2022. There were 2 interview rounds.
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 Campus Placement and was interviewed before Oct 2023. There were 2 interview rounds.
Easy Aptitude and SQL questions
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 ...
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