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I appeared for an interview before Sep 2023.
Delete removes rows from a table, truncate removes all rows from a table, and drop removes a table from the database.
Delete is a DML command that removes specific rows from a table.
Truncate is a DDL command that removes all rows from a table but keeps the table structure.
Drop is a DDL command that removes an entire table from the database.
Delete can be rolled back, truncate cannot be rolled back, and drop cannot be rol...
Using WHERE and HAVING clause in SQL
WHERE clause is used to filter rows based on a specified condition
HAVING clause is used to filter groups based on a specified condition
WHERE clause is applied before the data is grouped, while HAVING clause is applied after the data is grouped
ETL stands for Extract, Transform, Load. It is a process used to extract data from various sources, transform it into a consistent format, and load it into a target database or data warehouse.
Extract: Data is extracted from multiple sources such as databases, files, APIs, etc.
Transform: Data is cleaned, validated, and transformed into a consistent format to meet the requirements of the target system.
Load: The transform...
I applied via Walk-in and was interviewed before Nov 2020. There were 3 interview rounds.
Market capitalisation is the total value of a company's outstanding shares.
Market cap is calculated by multiplying the current stock price by the total number of outstanding shares.
It is used to determine the size of a company and its overall worth.
Companies with higher market caps are generally considered more stable and less risky investments.
For example, Apple Inc. has a market cap of over $2 trillion as of 2021.
Mar...
I applied via Referral and was interviewed in Jul 2020. There were 3 interview rounds.
I applied via Referral and was interviewed before Jun 2021. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in Jun 2021. There was 1 interview round.
I appeared for an interview before Mar 2024.
Technical Discussion
Technical Discussion with Coding Test
I worked as a project manager at a consulting firm, leading teams to deliver strategic solutions for clients across various industries.
Managed a team of 10 consultants to deliver a market entry strategy for a tech startup.
Conducted data analysis to identify key trends, resulting in a 20% increase in client revenue.
Facilitated workshops with clients to align project goals and expectations, enhancing client satisfaction.
...
I appeared for an interview in Jan 2025.
I am a highly motivated and detail-oriented individual with a background in finance and a passion for problem-solving.
Background in finance
Highly motivated and detail-oriented
Passionate about problem-solving
Seeking new challenges and opportunities for growth.
Looking for new challenges to expand my skills and knowledge
Seeking opportunities for career advancement
Interested in working in a different industry or with a different team
I have over 5 years of experience in marketing and sales roles, with a focus on digital marketing strategies.
Managed social media campaigns for a tech startup, increasing engagement by 30%
Developed email marketing campaigns for a retail company, resulting in a 20% increase in sales
Led a team of sales representatives to exceed quarterly targets by 15%
I followed a structured process involving research, planning, execution, and evaluation.
Researched the topic thoroughly to gather relevant information
Created a detailed plan outlining tasks and timelines
Executed the project according to the plan, making adjustments as needed
Evaluated the outcomes to identify successes and areas for improvement
Java hash map is a data structure that stores key-value pairs and uses hashing to efficiently retrieve values based on keys.
HashMap in Java implements the Map interface and allows null keys and values.
It uses hashing to store and retrieve key-value pairs, providing O(1) time complexity for get() and put() operations.
Example: HashMap
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.
Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.
Boosting is used to improve the accuracy of models and reduce bias and variance.
Basic questions on oops and sql queries
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