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I applied via Naukri.com and was interviewed before Sep 2023. There were 2 interview rounds.
I was previously assigned as a Corporate Salary Manager at XYZ Company.
Managed corporate salary accounts for employees
Developed and implemented salary structures and policies
Collaborated with HR department for payroll processing
Analyzed salary trends and made recommendations for adjustments
My roadmap would involve understanding the current salary structure, identifying areas for improvement, implementing new strategies, and monitoring the impact on employee satisfaction and retention.
Conduct a thorough analysis of the current salary structure and policies
Identify areas for improvement such as competitive salary benchmarks, performance-based incentives, and benefits packages
Develop and implement new strat...
I want to switch sectors to broaden my skill set and gain new experiences.
Seeking new challenges and opportunities for growth
Interested in exploring different industries and learning new processes
Looking to expand my professional network and gain diverse perspectives
Want to leverage my current skills in a new environment
Excited about the potential for career advancement in a different sector
My salary expectations are in line with industry standards and reflective of my experience and qualifications.
Research industry standards for Deputy Corporate Salary Manager positions
Consider my experience and qualifications when determining salary expectations
Be prepared to negotiate based on the overall compensation package offered
I applied via Naukri.com and was interviewed before Jan 2021. There were 3 interview rounds.
I applied via Referral and was interviewed before Jan 2021. There was 1 interview round.
I appeared for an interview before Nov 2019.
SQL query to get top 100 Uber drivers by city
Join drivers and users tables on city
Aggregate driver ratings and count of rides
Order by rating and count of rides
Limit to top 100
Optimizing the listing of Restaurants on Swiggy involves using data-driven strategies to improve visibility, relevance, and user experience.
Analyze user behavior and preferences to understand their needs and preferences
Implement a ranking algorithm based on factors like ratings, reviews, popularity, and delivery time
Optimize search functionality to ensure accurate and relevant results
Collaborate with restaurants to imp...
Linear Regression is used for continuous data while Logistic Regression is used for categorical data.
Linear Regression predicts continuous values while Logistic Regression predicts probabilities.
Linear Regression uses a straight line to fit the data while Logistic Regression uses an S-shaped curve.
Linear Regression uses Mean Squared Error as the cost function while Logistic Regression uses Log Loss.
Linear Regression is...
Bias-Variance trade-off is the balance between overfitting and underfitting. High bias models are simple but inaccurate, low variance models are complex but overfit.
Bias-Variance trade-off is a fundamental concept in machine learning.
High bias models are simple and have low variance, but are inaccurate.
Low bias models are complex and have high variance, but can overfit the data.
Examples of high bias models are linear r...
Possible reasons for a car manufacturer's decline in profits by 40% year over year
Decreased demand for cars due to economic downturn
Increased competition from other car manufacturers
Rising production costs and expenses
Decline in consumer confidence and spending
Changes in government regulations impacting the automotive industry
I applied via Naukri.com and was interviewed in Sep 2020. There were 3 interview rounds.
I applied via Company Website and was interviewed before Jul 2021. There were 2 interview rounds.
I applied via Campus Placement and was interviewed in Jan 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed in Sep 2020. There was 1 interview round.
I appeared for an interview before Sep 2020.
Round duration - 60 minutes
Round difficulty - Easy
Round duration - 50 minutes
Round difficulty - Easy
Round duration - 60 minutes
Round difficulty - Easy
At the beginning of this round, the interviewer asked me about the data structures I knew. Linked lists, trees, graphs, arrays etc. was my answer. He asked me how well I knew Dynamic Programming. I said I wasn’t strong in that and he said that he would ask me a question on dynamic programming for sure.
Round duration - 40 minutes
Round difficulty - Easy
The interviewer asked me if I was comfortable with the interview process so far and how the previous interviews were. I said it was good and he gave me the first problem to solve.
Round duration - 60 minutes
Round difficulty - Easy
The interviewer asked me some Computer Science fundamentals in this round as well as some behavioural questions.
Implement a Trie data structure with insert and search functions.
Create a TrieNode class with children and isEndOfWord attributes.
Implement insert function to add words by iterating through characters.
Implement search function to check if a word exists by traversing the Trie.
Example: Insert 'apple', 'banana', 'orange' and search for 'apple' and 'grape'.
Do lot of hard work and practice of Data Structures and Algorithms based questions. I personally recommend you Coding Ninjas and Geeks For Geeks for interview preparation.
Application resume tips for other job seekersMake your resume short and try to make it of one page only and do mention all your skills which you are confident of in your resume.
Final outcome of the interviewSelectedbased on 1 interview
Interview experience
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