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I applied via Campus Placement and was interviewed before Oct 2022. There were 6 interview rounds.
OA on aptitude and programming
A low pass analog filter is designed to allow low frequency signals to pass through while attenuating high frequency signals.
Determine the cutoff frequency for the filter
Choose a suitable filter design method (e.g., Butterworth, Chebyshev, etc.)
Select the appropriate order for the filter
Design the filter circuit using passive components (resistors, capacitors, inductors)
Simulate and test the filter response using softw...
A capacitor is an electronic component that stores and releases electrical energy. An inductor is a coil that stores and releases magnetic energy.
Capacitor: Stores electrical energy and releases it when needed.
Inductor: Stores magnetic energy and releases it when needed.
Capacitors are commonly used in electronic circuits to smooth out voltage fluctuations.
Inductors are used in applications such as transformers and elec
An inverter is a device that converts DC power to AC power, allowing for the use of AC appliances.
An inverter uses electronic components to convert the direct current (DC) from a power source, such as a battery or solar panel, into alternating current (AC).
It typically consists of a rectifier, which converts AC to DC, and an inverter circuit, which converts DC back to AC.
The inverter circuit uses switches, such as tran...
Sandisk is a leading global provider of flash memory storage solutions known for their innovative products and reliable performance.
Sandisk is a well-established company with a strong reputation in the industry.
They offer a wide range of products, from USB drives to solid state drives, catering to various storage needs.
Sandisk products are known for their durability, speed, and reliability.
Their focus on innovation and...
Yes, I am adaptable and have successfully adjusted to new environments in the past.
I have moved to different cities for my education and work, and have always adapted well to the new surroundings.
I am open-minded and enjoy experiencing new cultures and meeting new people.
I believe that adapting to a new place is a great opportunity for personal growth and learning.
I am a recent graduate with a degree in Computer Science and a passion for coding and problem-solving.
Recent graduate with a degree in Computer Science
Passionate about coding and problem-solving
Experience with programming languages like Java, Python, and C++
Completed internships at tech companies such as Google and Microsoft
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I was interviewed in Aug 2017.
I applied via Campus Placement and was interviewed before Jul 2021. There were 3 interview rounds.
I applied via Campus Placement
I applied via Campus Placement and was interviewed in Dec 2020. There was 1 interview round.
C is a general-purpose programming language developed by Dennis Ritchie in 1972.
C is used for developing operating systems, embedded systems, and system software.
It is a compiled language and has a low-level memory access.
C is the predecessor of many modern programming languages like C++, Java, and Python.
A loop is a programming structure that repeats a set of instructions until a certain condition is met.
Loops are used to iterate over a collection of data or to repeat a set of instructions a certain number of times.
There are three types of loops in most programming languages: for, while, and do-while.
Example: for (int i = 0; i < 10; i++) { // do something }
I applied via Campus Placement and was interviewed in Mar 2024. There was 1 interview round.
Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.
Hyperparameters are parameters that are set before the learning process begins.
Hyperparameter tuning involves adjusting hyperparameters to optimize the model's performance.
Common techniques for hyperparameter tuning include grid search, random search, and Bayesian optimization.
Neural networks are trained using algorithms that adjust the weights and biases of the network based on the input data and desired output.
Neural networks are trained using a process called backpropagation, where the error between the predicted output and the actual output is used to adjust the weights and biases of the network.
Training data is fed into the neural network, and the network's output is compared to the des...
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It can be identified when a model performs well on training data but poorly on unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early ...
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Aptitude was quite easy with simple python questions
Asked basic questions on numpy and pandas
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