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I applied via Approached by Company and was interviewed before Jan 2022. There were 4 interview rounds.
I applied via Company Website and was interviewed before Dec 2020. There was 1 interview round.
My long term objective is to become a senior manager in the company and contribute to its growth and success.
I aim to develop my leadership and management skills through continuous learning and training.
I plan to build strong relationships with my team and colleagues to foster a positive work environment.
I will work towards achieving the company's goals and objectives by implementing effective strategies and solutions.
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I was interviewed in Feb 2020.
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I applied via campus placement at National Institute of Technology (NIT), Calicut and was interviewed in Nov 2024. There were 2 interview rounds.
"I applied via campus placement First round was an aptitude containing quant,english, logical reasoning and data interpretation (60 mins ,60 questions) plus technical round (30 mins,30 questions) conducted via Aon platform. Aptitude was easy but was a bit lengthy. Technical test was also moderate and covered all topics from mechanical core. After the written test there was a resume shortlisting for people who cleared round one.Prepare ur resume according to the role ur applying. From around 87 members 27 were shortlisted for GD round. ."
They divided us into 4 groups and group discussion went on for around 20 mins my topic was (Are ev vehicle's an efficient solution for pollution). In gd round listen to the topic carefully. Don't hesitate to put ur thoughts first donot interfere while other is speaking listen to them and put ur thoughts in a politeful way , mostly stick to the topic. After 20 mins the recruiters asked me to summarise the topic and i gave a brief summary keeping everyone's and my thoughts in mind. After GD 9 members were selected for the interview.Gd and interview happened on the same day.
I applied via Job Portal and was interviewed in Dec 2024. There was 1 interview round.
I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
I applied via Company Website and was interviewed in Jun 2024. There were 2 interview rounds.
A medium python program
Optimizing code for better performance and efficiency
Use built-in functions and libraries for faster execution
Minimize unnecessary loops and conditions
Avoid redundant code and optimize data structures
Implement caching or memoization for repetitive computations
Optimizing Python code involves improving efficiency and performance.
Use built-in functions and libraries instead of writing custom code
Avoid unnecessary loops and nested loops for better performance
Optimize data structures and algorithms for faster execution
Numpy is a powerful library for numerical operations in Python, with efficient array operations and mathematical functions.
Use vectorized operations instead of loops for better performance.
Avoid unnecessary copying of arrays to save memory.
Utilize broadcasting to perform operations on arrays of different shapes.
Use numpy functions like np.sum(), np.mean(), np.max(), etc. for efficient calculations.
Optimize code by prof
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