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I applied via Naukri.com and was interviewed in Jun 2024. There were 3 interview rounds.
SQL query to join two tables
Use JOIN keyword to combine rows from two or more tables based on a related column between them
Specify the columns to be selected from each table
Use ON keyword to specify the join condition
Analyzing datasets and building a Machine Learning model for Associate Data Scientist role.
1. Explore and understand the datasets to identify patterns and relationships.
2. Preprocess the data by handling missing values, encoding categorical variables, and scaling numerical features.
3. Split the data into training and testing sets for model evaluation.
4. Choose a suitable Machine Learning algorithm based on the nature o...
Assumptions of linear regression are important for the model to be valid and reliable.
Linear relationship between independent and dependent variables
Independence of residuals (errors)
Homoscedasticity (constant variance of residuals)
Normality of residuals
No multicollinearity among independent variables
R-Squared measures the proportion of variance explained by the model, while Adjusted R-Squared adjusts for the number of predictors in the model.
R-Squared increases as more predictors are added to the model, even if they are not relevant.
Adjusted R-Squared penalizes for adding irrelevant predictors, making it a more reliable measure of model fit.
R-Squared can never decrease when adding predictors, while Adjusted R-Squa...
Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.
The Central Limit Theorem is a fundamental concept in statistics that states that the sampling distribution of the sample mean will be approximately normally distributed, regardless of the shape of the population distribution, as the sample size increases.
It is important because i...
Rank assigns unique ranks to each row based on the order specified, while Dense Rank assigns consecutive ranks without gaps.
Rank may have gaps in ranks if there are ties, while Dense Rank does not have gaps.
Rank function is used to assign a unique rank to each row based on the specified order, while Dense Rank function assigns consecutive ranks.
Example: If three rows have the same value and are ranked 1, 1, and 2 using...
Series is a one-dimensional labeled array while Dataframe is a two-dimensional labeled data structure.
Series can hold data of any type while Dataframe is a collection of Series.
Dataframe is like a table with rows and columns, while Series is like a single column of that table.
Dataframe is more versatile and powerful compared to Series.
Example: Series - a column of employee names. Dataframe - a table with columns for em
Random Forest is an ensemble learning algorithm that creates multiple decision trees and combines their predictions.
Random Forest is a collection of decision trees that are trained on random subsets of the data.
Each tree in the Random Forest independently predicts the outcome, and the final prediction is made by averaging the predictions of all trees.
Random Forest is used for classification and regression tasks, and it...
Stemming reduces words to their root form, while lemmatization reduces words to their dictionary form.
Stemming chops off prefixes or suffixes to get the root form (e.g. 'running' becomes 'run')
Lemmatization uses vocabulary analysis to reduce words to their base form (e.g. 'better' becomes 'good')
Lemmatization is more accurate but slower than stemming
Stemming is faster but may not always result in a valid word
I applied via Naukri.com and was interviewed in Oct 2024. There were 3 interview rounds.
Logical reasoning, verbal aptitude
Stemming reduces words to their root form, while lemmatisation reduces words to their dictionary form.
Stemming is faster but less accurate than lemmatisation
Stemming may result in non-words, while lemmatisation always results in valid words
Example: Stemming - running, runs, ran all reduced to run. Lemmatisation - running, runs, ran all reduced to run
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.
It assumes a linear relationship between the independent and dependent variables.
The goal of linear regression is to find the best-fitting line that minimi...
I applied via Referral and was interviewed before Apr 2023. There were 5 interview rounds.
Coding Knowledge been checked
Case of certain domain projects
GeakMinds interview questions for popular designations
I applied via Campus Placement and was interviewed before Apr 2023. There were 3 interview rounds.
Deals with mathematics and coding related queries
Test our coding knowledge
I applied via LinkedIn and was interviewed before Oct 2022. There were 3 interview rounds.
Basis logic & reasoning
Dataset given and analysis done .
Precompilation unit is a compiled code that can be reused by multiple source files.
Precompilation unit is created by the compiler from the source code.
It contains the compiled code of header files and other dependencies.
It can be reused by multiple source files, reducing compilation time.
It is also known as precompiled header or PCH.
Example: stdafx.h in Visual Studio is a precompiled header file.
posted on 15 Feb 2016
The first 50 prime numbers are...
Start with 2, the first prime number
Check each odd number greater than 2
Use trial division to check if a number is prime
Stop when you have found 50 prime numbers
Sorting a file within a range
Use a sorting algorithm like quicksort or mergesort
Read the file and store the data in an array or list
Sort the array or list within the given range
Write the sorted data back to the file
I am a passionate software engineer with experience in developing web applications using various technologies.
Experienced in developing web applications using HTML, CSS, JavaScript, and frameworks like React and Angular
Proficient in backend development with Node.js, Express, and MongoDB
Familiar with version control systems like Git and project management tools like Jira
posted on 27 Dec 2015
I am a passionate software engineer with experience in developing web applications and a strong background in computer science.
Experienced in developing web applications using technologies such as HTML, CSS, JavaScript, and React
Strong background in computer science with knowledge in algorithms and data structures
Passionate about learning new technologies and solving complex problems
I have worked on various projects including a web application for inventory management and a mobile app for fitness tracking.
Developed a web application using React for inventory management
Created a mobile app using Flutter for fitness tracking
Implemented RESTful APIs for communication between frontend and backend systems
My area of interest is artificial intelligence and machine learning.
I have experience in developing machine learning models for predictive analytics.
I am interested in natural language processing and computer vision applications.
I enjoy exploring deep learning algorithms and neural networks.
I have worked on projects involving recommendation systems and image recognition.
C++ is a high-level programming language with features like object-oriented programming, templates, and memory management.
C++ supports object-oriented programming concepts like encapsulation, inheritance, and polymorphism.
Templates allow generic programming and code reusability.
C++ provides low-level memory manipulation through pointers.
Standard Template Library (STL) provides a collection of classes and functions for ...
Big Data refers to large and complex data sets that cannot be processed using traditional data processing methods.
Big Data is characterized by the 3Vs - Volume, Velocity, and Variety.
It requires specialized tools and technologies such as Hadoop, Spark, and NoSQL databases.
Examples of Big Data include social media data, sensor data, and financial market data.
Program to reverse a string without using string function
Iterate through the string from end to start and append each character to a new string
Use a loop to swap the first and last characters, then move towards the middle until the entire string is reversed
Convert the string to a character array, then swap the first and last elements until the entire array is reversed
I was responsible for designing and implementing the project's database and backend functionality.
Designed the database schema and created the necessary tables
Implemented the backend functionality using Java and Spring framework
Collaborated with team members to integrate the frontend and backend components
Tested the application and fixed any bugs or issues that arose
Presented the project to the faculty and received pos
Keys in a database are unique identifiers used to establish relationships between tables and ensure data integrity.
Keys are used to uniquely identify records in a database table.
Primary keys are used to uniquely identify each record in a table.
Foreign keys establish relationships between tables.
Keys help enforce data integrity and maintain consistency in the database.
Examples of keys include primary keys, foreign keys,
Issues in cloud include security, downtime, vendor lock-in, and data privacy.
Security concerns such as data breaches and unauthorized access
Downtime and service interruptions affecting business operations
Vendor lock-in and limited flexibility in choosing cloud providers
Data privacy and compliance with regulations such as GDPR and HIPAA
Developed a web application for online shopping using React and Node.js
Implemented user authentication and authorization using JSON Web Tokens (JWT)
Used MongoDB as the database to store user and product information
Implemented a search feature using Elasticsearch to provide fast and accurate search results
Integrated Stripe payment gateway for secure online transactions
The flow diagram of my final year project showcases the step-by-step process of its execution.
The flow diagram illustrates the sequence of activities and their dependencies.
It helps in understanding the overall structure and logic of the project.
Each step in the diagram represents a specific task or action.
Arrows indicate the flow of control or data between different steps.
Decision points are represented by diamond-sha...
Normalisation reduces data redundancy and improves data integrity in a database.
Prevents data duplication and inconsistencies
Simplifies database maintenance and updates
Improves query performance
Enforces data integrity and consistency
Follows best practices for database design
Examples: breaking down a customer table into separate tables for orders, addresses, and payments
Examples: creating a separate table for product ca...
I am a passionate software engineer with experience in developing web applications and a strong background in computer science.
Experienced in developing web applications using technologies like HTML, CSS, JavaScript, and React
Strong background in computer science with knowledge of algorithms and data structures
Familiar with agile development methodologies and version control systems like Git
I am a problem solver, team player, quick learner, detail-oriented, and have strong communication skills.
Problem solver - I enjoy tackling complex problems and finding innovative solutions.
Team player - I work well with others and value collaboration in achieving goals.
Quick learner - I am able to pick up new technologies and concepts quickly.
Detail-oriented - I pay attention to the smallest details to ensure high-qual...
Yes, I have a Bachelor's degree in Computer Engineering.
Bachelor's degree in Computer Engineering
Experience in software development
Knowledge of engineering principles applied to software design
My day was productive and challenging, with a lot of problem-solving and collaboration.
Completed a major coding project ahead of schedule
Participated in a brainstorming session with team members
Solved a tricky bug in the codebase
Attended a virtual meeting with stakeholders
No, I do not have any relatives in Pune. I have arranged for my accommodation in a rented apartment near the office.
No relatives in Pune
Accommodation arranged in a rented apartment near the office
Yes, My Passion Challenge test is a coding competition for software engineers.
My Passion Challenge test is a coding competition that evaluates the coding skills of software engineers.
It is designed to test problem-solving abilities, algorithmic thinking, and coding proficiency.
Participants are given a set of coding challenges to solve within a specified time limit.
The challenges can range from simple to complex, coveri...
Considering pursuing a Master's degree in Computer Science to deepen knowledge and advance career.
Considering pursuing a Master's degree in Computer Science
To deepen knowledge and advance career
Examples: MS in Computer Science at XYZ University, online courses in AI and Machine Learning
The duration of GeakMinds interview process can vary, but typically it takes about less than 2 weeks to complete.
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