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I applied via Company Website and was interviewed in Jan 2022. There were 4 interview rounds.
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posted on 16 Jan 2025
I applied via Naukri.com and was interviewed in Dec 2024. There were 5 interview rounds.
A technical interview that evaluates a candidate's programming abilities.
Evaluate a candidate's skills and abilities in areas such as logical reasoning, problem-solving, and verbal communication.
Current affairs, business matters, and abstract subjects.
I applied via Walk-in and was interviewed in Dec 2024. There were 3 interview rounds.
Group discussion is a very important tool in addressing various problems.
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
The Aptitude Test session accesses mathematical and logical reasoning abilities
Vlookup is a function in Excel used to search for a value in a table and return a corresponding value from another column.
Vlookup stands for 'Vertical Lookup'
It is commonly used in Excel to search for a value in the leftmost column of a table and return a value in the same row from a specified column
Syntax: =VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])
Example: =VLOOKUP(A2, B2:D10, 3, FALSE) - searc...
My day in my previous organization involved analyzing large datasets, creating reports, and presenting findings to stakeholders.
Reviewing and cleaning large datasets to ensure accuracy
Creating visualizations and reports to communicate insights
Collaborating with team members to identify trends and patterns
Presenting findings to stakeholders in meetings or presentations
I possess strong technical skills in data analysis, including proficiency in programming languages, statistical analysis, and data visualization tools.
Proficient in programming languages such as Python, R, SQL
Skilled in statistical analysis and data modeling techniques
Experience with data visualization tools like Tableau, Power BI
Knowledge of machine learning algorithms and techniques
A Pivot Table is a data summarization tool used in spreadsheet programs to analyze, summarize, and present data in a tabular format.
Pivot tables allow users to reorganize and summarize selected columns and rows of data to obtain desired insights.
Users can easily group and filter data, perform calculations, and create visualizations using pivot tables.
Pivot tables are commonly used in Excel and other spreadsheet program...
To find the highest-paid employee in each department, we need to group employees by department and then select the employee with the highest salary in each group.
Group employees by department
Find the employee with the highest salary in each group
Retrieve the employee's name, salary, and department name
I applied via Company Website and was interviewed in Dec 2024. There were 2 interview rounds.
Data Structures & Algorithms: Make sure you understand common data structures (arrays, linked lists, stacks, queues, trees, graphs, hashmaps) and algorithms (sorting, searching, dynamic programming, etc.).
Problem Solving: Practice solving problems on platforms like LeetCode, HackerRank, or CodeSignal. Focus on optimizing your code, as well as understanding the time and space complexity (Big O notation).
Language Proficiency: Be comfortable with the programming language you're expected to use for the test. Most tests will expect you to code in languages like Python, Java, or C++.
System Design: For more senior roles, system design questions may be part of the interview. Practice designing scalable systems and explaining your design decisions.
In a group discussion for a job, the goal is often to assess your communication skills, teamwork, problem-solving abilities, and how well you can present your ideas while considering others’ viewpoints. Here are some tips to excel in a group discussion:
1. Understand the Topic
If the topic is provided in advance, research it thoroughly. Understand the key points and perspectives.
If the topic is given on the spot, take a moment to organize your thoughts before speaking. Think about the main ideas and structure your points clearly.
2. Listen Actively
Pay attention to what others are saying. This helps you respond meaningfully and prevents you from repeating points already made.
Nod and make eye contact to show you're engaged.
3. Speak Clearly and Confidently
Be concise. Don’t go on for too long, as group discussions typically have time limits.
Avoid speaking too fast. Clearly articulate your points so everyone can understand you.
4. Be Assertive, Not Aggressive
Express your opinions confidently but respect others’ viewpoints. Being polite and diplomatic goes a long way.
If you disagree with someone, do so respectfully and offer a constructive alternative.
5. Encourage Others
Don’t dominate the conversation. Allow others to speak and acknowledge their points.
If someone is struggling to speak, you can gently invite them to share their thoughts.
6. Stay on Topic
Stick to the subject and avoid going off on tangents. If the discussion strays, politely steer it back to the main topic.
7. Summarize Key Points
If possible, try to summarize the discussion toward the end, tying together the key ideas that have been raised.
A strong conclusion can leave a positive impression.
8. Be Professional
Dress appropriately and maintain a professional attitude throughout the discussion.
Show respect for time. Don’t interrupt others and avoid speaking over people.
9. Keep a Positive Attitude
Stay calm and composed, even if you disagree with something or if the discussion gets heated.
Would you like tips specific to a particular kind of group discussion (e.g., on current affairs, technical topics, or problem-solving scenarios
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 4 interview rounds.
I am currently responsible for leading a team of data scientists, developing and implementing data-driven strategies, and ensuring the quality and accuracy of data analysis.
Leading a team of data scientists
Developing and implementing data-driven strategies
Ensuring quality and accuracy of data analysis
Developed a predictive model for customer churn using machine learning algorithms.
Used Python for data preprocessing and model building
Applied techniques like feature engineering and hyperparameter tuning
Evaluated model performance using metrics like accuracy, precision, and recall
The loss function used in XGBoost is typically the gradient boosting algorithm.
XGBoost uses the gradient boosting algorithm to minimize the loss function
Common loss functions include regression loss functions like squared error and logistic loss for classification
Users can also define custom loss functions in XGBoost
My professional aspiration is to lead a team of data scientists to drive impactful insights and innovations.
Lead a team of data scientists to tackle complex problems
Drive impactful insights and innovations through data analysis
Continuously learn and stay updated on the latest trends in data science
Collaborate with cross-functional teams to implement data-driven solutions
Seeking new challenges and growth opportunities in a more innovative environment.
Desire for new challenges and growth opportunities
Seeking a more innovative work environment
Looking to expand skill set and knowledge in data science
I am excited about the opportunity to contribute my data science skills to IDFC's innovative projects and make a meaningful impact.
Excited about contributing data science skills to innovative projects at IDFC
Opportunity to make a meaningful impact through data-driven solutions
Interested in working with a reputable organization like IDFC
My strengths include strong analytical skills and attention to detail. My weaknesses include a tendency to overthink and difficulty delegating tasks.
Strengths: strong analytical skills
Strengths: attention to detail
Weaknesses: tendency to overthink
Weaknesses: difficulty delegating tasks
The aptitude test lasts 30 minutes and focuses on topics relevant to data engineering, including Spark, SQL, Azure, and PySpark.
The coding test is a one-hour examination on PySpark.
I applied via Walk-in and was interviewed in Nov 2024. There were 3 interview rounds.
It's walkin, so they conducted 1 technical mcqs round.
HashMap in Java is a data structure that stores key-value pairs and uses hashing to efficiently retrieve values based on keys.
HashMap uses an array of buckets to store key-value pairs.
Keys are hashed to determine the index in the array where the key-value pair will be stored.
In case of hash collisions, a linked list or a balanced tree is used to store multiple key-value pairs in the same bucket.
HashMap allows null keys...
Function to find and return all non-repeating characters in an array of strings.
Iterate through the array and count the occurrences of each character using a HashMap.
Then iterate through the array again and check if the count of each character is 1, if so add it to the result list.
Return the list of non-repeating characters.
To find the 3rd highest salary in a database, we can use a SQL query with the 'LIMIT' and 'OFFSET' keywords.
Use a SQL query with 'ORDER BY salary DESC' to sort the salaries in descending order.
Use 'LIMIT 1 OFFSET 2' to skip the first two highest salaries and retrieve the third highest salary.
Example: SELECT salary FROM employees ORDER BY salary DESC LIMIT 1 OFFSET 2;
A qualifier in Java is used to specify additional information about a primary, which is the main data type or variable.
A primary in Java is the main data type or variable, while a qualifier provides additional information about the primary.
Qualifiers can be used to modify the behavior or characteristics of a primary.
For example, in Java, 'final' is a qualifier that can be used to make a variable constant.
The main difference is that @RestController is a specialized version of @Controller that is used for RESTful web services.
Both @Controller and @RestController are used in Spring MVC to handle HTTP requests, but @RestController is specifically used for RESTful web services.
@Controller is used to create web pages, while @RestController is used to return data in JSON or XML format.
@RestController is a convenience annotati...
OOP concepts include inheritance, encapsulation, polymorphism, and abstraction.
Inheritance: Allows a class to inherit properties and behavior from another class. Example: class Dog extends Animal.
Encapsulation: Bundling data and methods that operate on the data into a single unit. Example: private variables with public getter and setter methods.
Polymorphism: Ability for objects to be treated as instances of their paren...
Microservices communicate with each other through various communication protocols like HTTP, messaging queues, and gRPC.
Microservices can communicate over HTTP using RESTful APIs.
Messaging queues like RabbitMQ or Kafka can be used for asynchronous communication between microservices.
gRPC is a high-performance, open-source RPC framework that can be used for communication between microservices.
Service discovery mechanism...
Microservice endpoints can be accessed using HTTP requests with the appropriate URL
Use HTTP methods like GET, POST, PUT, DELETE to interact with the microservice
Construct the URL with the base URL of the microservice and the specific endpoint path
Include any necessary headers or parameters in the request for authentication or data filtering
Microservices allow for modular, scalable, and flexible software development by breaking down applications into smaller, independent services.
Microservices enable easier maintenance and updates as each service can be developed, deployed, and scaled independently.
They improve fault isolation, as failures in one service do not necessarily affect the entire application.
Microservices promote agility and faster time-to-mark...
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