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I applied via Walk-in and was interviewed before Sep 2020. There was 1 interview round.
Ohm's Law states that the current flowing through a conductor is directly proportional to the voltage across it and inversely proportional to the resistance.
Ohm's Law is represented by the formula V = IR, where V is voltage, I is current, and R is resistance.
It helps in calculating the relationship between voltage, current, and resistance in an electrical circuit.
It is named after the German physicist Georg Simon Ohm w
Kirchhoff's law states that the total current entering a junction is equal to the total current leaving the junction.
Kirchhoff's current law (KCL) is based on the principle of conservation of charge.
It is used to analyze electrical circuits and determine unknown currents.
KCL is often applied to nodes in a circuit where multiple branches meet.
An example of KCL in action is when analyzing a circuit with multiple resistor
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I applied via Walk-in and was interviewed before Aug 2020. There was 1 interview round.
I applied via Naukri.com and was interviewed before Dec 2019. There were 5 interview rounds.
I applied via LinkedIn and was interviewed before Dec 2020. There were 3 interview rounds.
I applied via Walk-in and was interviewed before Dec 2019. There were 4 interview rounds.
I applied via Referral and was interviewed before Jun 2020. There were 5 interview rounds.
Developed a solution for optimizing a complex algorithm for a client in the finance industry
Client had a large dataset that needed to be processed quickly
Implemented parallel processing to speed up the algorithm
Optimized the code to reduce memory usage
Collaborated with the client to fine-tune the algorithm for their specific needs
I applied via Naukri.com and was interviewed before Oct 2022. There were 2 interview rounds.
K-means algorithm is a clustering algorithm that partitions data into k clusters based on similarity.
Iteratively assigns data points to the nearest cluster centroid
Calculates new centroids based on the mean of data points in each cluster
Repeats until centroids no longer change significantly
Used in data mining, image segmentation, and customer segmentation
I followed a systematic approach for data preprocessing including data cleaning, normalization, encoding, and feature scaling.
Performed data cleaning to handle missing values and outliers
Normalized numerical features to bring them to a similar scale
Encoded categorical variables using techniques like one-hot encoding
Applied feature scaling to ensure all features contribute equally to the model
I applied via Naukri.com and was interviewed in Oct 2021. There were 2 interview rounds.
They ask to many technical question and ask to code also
They ask for your background and thing you learnt in your past
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