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I applied via Referral and was interviewed before Feb 2023. There were 4 interview rounds.
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I applied via Walk-in and was interviewed before Dec 2023. There was 1 interview round.
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
I have a Bachelor's degree in Statistics from XYZ University.
I have 3 years of experience working as a data analyst at ABC Company.
I am proficient in using statistical software such as R and Python for data analysis.
I have a proven track record of delivering actionable insights to drive business decisions.
I am a q...
I am an experienced analyst with a strong background in data analysis and problem-solving.
Experienced analyst with a track record of successfully analyzing complex data sets
Proficient in using statistical software and data visualization tools
Strong problem-solving skills and ability to identify trends and patterns
Excellent communication and presentation skills
Example: In my previous role as a financial analyst, I condu...
I appeared for an interview before Apr 2024, where I was asked the following questions.
I chose computer science for its blend of creativity and problem-solving, enabling me to innovate and impact various fields.
Passion for technology: I have always been fascinated by how technology shapes our world, from smartphones to AI.
Problem-solving skills: Computer science teaches critical thinking and analytical skills, which I enjoy applying to real-world challenges.
Career opportunities: The demand for computer s...
Developed a sentiment analysis model using TensorFlow to classify movie reviews as positive or negative.
Utilized TensorFlow's Keras API for building the neural network architecture.
Preprocessed text data using tokenization and padding to ensure uniform input size.
Implemented an LSTM layer to capture long-term dependencies in the text.
Achieved an accuracy of over 85% on the validation dataset.
Visualized training progres...
I applied via Campus Placement and was interviewed before Aug 2023. There were 2 interview rounds.
Identify anagrams within a given sentence
Split the sentence into individual words
Compare each word to every other word to find anagrams
Store anagrams in an array of strings
The lowest common ancestor (LCA) of a binary tree is the shared ancestor of two nodes farthest from the root.
Start from the root and recursively search for the nodes in the left and right subtrees.
If one node is found in the left subtree and the other in the right subtree, then the root is the LCA.
If both nodes are found in the left subtree, then the LCA is in the left subtree. Same for the right subtree.
Repeat the pro...
Use a hash set to find duplicates in a string efficiently.
Create a hash set to store characters as you iterate through the string.
If a character is already in the hash set, it is a duplicate.
Return the duplicates as an array of strings.
To find the sum of digits in reverse order, reverse the number and then add the digits together.
Reverse the given number
Separate each digit of the reversed number
Add all the digits together to get the sum
I applied via Naukri.com and was interviewed in Apr 2024. There was 1 interview round.
Talk about social media influence impact on chilfern
posted on 10 Sep 2023
Black box testing is a software testing method where the internal workings of the system are not known to the tester.
Testing based on external behavior and inputs without knowledge of internal code
Focuses on testing functionality without looking at the code implementation
Helps in identifying issues that may not be apparent from a code review
Examples: User interface testing, system integration testing
I applied via Campus Placement and was interviewed before Aug 2020. There were 7 interview rounds.
I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.
Lazy loading in React is a technique used to improve performance by loading components only when they are needed.
Lazy loading helps reduce initial load time by splitting the code into smaller chunks.
React.lazy() and Suspense are commonly used for lazy loading in React.
Lazy loading is especially useful for large applications with many components.
The difference between == and === is that == checks for equality after type coercion, while === checks for equality without type coercion.
== is a loose equality operator that performs type coercion before comparing two values.
=== is a strict equality operator that does not perform type coercion before comparing two values.
Example: 1 == '1' will return true, but 1 === '1' will return false.
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