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I applied via Company Website and was interviewed in Jul 2024. There were 2 interview rounds.
Aptitude is the ability to learn or understand quickly. It is often through measured through
standardized tests that assess various cognitive abilities, logical reasoning , and problem solving skills. Aptitude tests are commonly used in educational and professional settings to evaluate a person's potential in a specific field or career. Here's a breakdown of the common topics and types of questions might encounter in aptitude tests.
1.Quantitative Aptitude :
>Number System
>Arithmetic:
> Algebra
>Geometry
>Mensuration
>Data Interpretation
>probability & statistics
2.Logical & Reasoning
>Analytical Reasoning
>Blood Relations
>seating Arrangements
>puzzles
>coding-decoding
Coding tests are designed to evaluate a candidate's programming skills, problem-solving skills , and understanding of algorithms and data structures. These tests are commonly used in technical interviews, hiring assessments and competitive programming contests. Here are the key topics typically covered in coding tests.
I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
Inheritance is a mechanism in object-oriented programming where a new class is created from an existing class.
Allows for code reuse and avoids redundancy
The new class (subclass) inherits properties and methods from the existing class (superclass)
Subclass can add new properties and methods or override existing ones
Example: A Car class can inherit properties and methods from a Vehicle class
Lambda functions are anonymous functions that can be defined without a name.
Lambda functions are defined using the lambda keyword.
They can take any number of arguments, but can only have one expression.
They are often used as arguments for higher-order functions.
Example: lambda x: x**2 defines a lambda function that squares its input.
Numpy is a Python library for numerical computing with support for large, multi-dimensional arrays and matrices.
Numpy provides efficient mathematical operations on arrays.
It is widely used in scientific computing, data analysis, and machine learning.
Numpy arrays are homogeneous and can be indexed and sliced like lists.
Broadcasting allows for element-wise operations on arrays of different shapes.
Numpy also includes line...
Pandas is a Python library used for data manipulation and analysis.
Pandas provides data structures for efficiently storing and manipulating large datasets.
It offers tools for data cleaning, merging, reshaping, and visualization.
Pandas can handle various data formats such as CSV, Excel, SQL databases, and JSON.
It is widely used in data science, finance, economics, and other fields.
Example: df = pd.read_csv('data.csv') c
There are 7 types of operators in Python.
Arithmetic operators (+, -, *, /, %, //, **)
Comparison operators (==, !=, >, <, >=, <=)
Assignment operators (=, +=, -=, *=, /=, %=, //=, **=)
Logical operators (and, or, not)
Bitwise operators (&, |, ^, ~, <<, >>)
Identity operators (is, is not)
Membership operators (in, not in)
Python is a high-level programming language known for its simplicity, readability, and versatility. It is widely used for web development, data analysis, artificial intelligence, and more.
Python is easy to learn and read, making it a great choice for beginners and experienced developers alike.
Python has a large standard library and many third-party packages, making it suitable for a wide range of applications.
Python is...
Autocorrelation is the correlation of a signal with a delayed copy of itself.
Autocorrelation is used to identify patterns in time series data.
It is a measure of how similar a signal is to a delayed version of itself.
Autocorrelation can be positive, negative, or zero.
It is commonly used in signal processing, finance, and econometrics.
Autocorrelation can be visualized using a correlogram.
Heteroscedasticity is a statistical term that refers to the unequal variance of a variable across different levels of another variable.
It is a violation of the assumption of homoscedasticity in regression analysis.
It can lead to biased and inefficient estimates of regression coefficients.
It can be detected through residual plots or statistical tests such as the Breusch-Pagan test.
Examples include income and expenditure...
Data analysis is affected by various factors that can influence the accuracy and reliability of the results.
Data quality: The accuracy, completeness, and consistency of the data can impact the analysis.
Data sources: The reliability and relevance of the data sources used for analysis can affect the outcomes.
Data preprocessing: The way data is cleaned, transformed, and prepared for analysis can impact the results.
Data in...
I applied via Campus Placement
I am a business analyst with experience in data analysis, process improvement, and project management.
Experienced in data analysis and visualization using tools like Excel, Tableau, and Power BI
Skilled in process improvement and optimization through Lean Six Sigma methodologies
Proficient in project management and agile methodologies
Strong communication and interpersonal skills, able to collaborate with cross-functional...
I grew up in a small town in the countryside, while Surat is a bustling city known for its textile industry.
My hometown is peaceful and quiet, while Surat is always buzzing with activity.
My hometown has a strong sense of community, while Surat is more diverse and cosmopolitan.
My hometown is surrounded by natural beauty, while Surat has a rich cultural heritage and historical landmarks.
Advice for 15 year old and 40 year old Shubham
For 15 year old Shubham: Focus on education and skill development
For 40 year old Shubham: Embrace change and continue learning
Both should prioritize their mental and physical health
15 year old Shubham should explore different interests and hobbies
40 year old Shubham should network and build professional relationships
I believe that working in a non-core company will provide me with a diverse range of experiences and challenges, allowing me to develop a broader skill set.
Non-core companies often have a more dynamic work environment
Opportunities to work on a variety of projects
Chance to learn new skills and gain experience in different areas
Potential for faster career growth
Examples: IT companies, consulting firms, startups
In 3 years, I see myself as a senior business analyst leading a team and contributing to the growth of the company.
Leading a team of business analysts
Contributing to the growth of the company through data-driven insights
Continuing to learn and develop new skills
Building strong relationships with stakeholders
Exploring opportunities for process improvement
Yes, I have some doubts about the company.
I am not sure about the company's long-term growth strategy.
I have concerns about the company's financial stability.
I am unsure about the company's approach to employee development and retention.
I want to join Accenture because of its reputation as a leading consulting firm and its focus on innovation and technology.
Accenture's reputation as a leading consulting firm is unmatched in the industry.
I am impressed by Accenture's focus on innovation and technology, which aligns with my own interests and skills.
I believe that Accenture's collaborative and diverse culture will provide me with opportunities to learn a...
I developed a software tool to automate the testing process of a complex system.
Identified the need for automation due to the complexity of the system
Researched and learned new programming languages and tools
Designed and developed the software tool using Python and Selenium
Collaborated with the testing team to ensure the tool met their needs
Reduced testing time by 50% and improved accuracy of test results
Yes, I know programming languages.
I am proficient in Java and Python.
I have experience in using SQL for database management.
I have also worked with HTML, CSS, and JavaScript for web development.
I am familiar with Agile methodology and have used JIRA for project management.
I appeared for an interview before Jun 2016.
I applied via Approached by Company and was interviewed in Nov 2018. There were 4 interview rounds.
I applied via Walk-in and was interviewed before Feb 2020. There were 4 interview rounds.
based on 1 interview
Interview experience
TCS
Accenture
Cognizant
Infosys