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I was interviewed in Nov 2023.
ROC curve is a graphical representation of the performance of a classification model.
ROC curve stands for Receiver Operating Characteristic curve.
It plots the true positive rate (sensitivity) against the false positive rate (1-specificity) at various threshold settings.
The area under the ROC curve (AUC) is a measure of how well the model can distinguish between classes.
A perfect model would have an AUC of 1, while a ra
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I applied via LinkedIn and was interviewed in Jul 2024. There were 2 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company
Used historical customer data to train the model
Implemented various classification algorithms such as logistic regression, random forest, and XGBoost
Evaluated model performance using metrics like accuracy, precision, recall, and F1 score
I applied via Referral and was interviewed before Aug 2023. There were 2 interview rounds.
AMAT is a leading provider of semiconductor manufacturing equipment and services.
AMAT is known for its cutting-edge technology and innovation in the semiconductor industry.
I appreciate AMAT's commitment to research and development, constantly pushing the boundaries of what is possible.
The company has a strong global presence and a track record of delivering high-quality products and services.
AMAT's focus on sustainabil...
I enjoy working in a collaborative environment where I can use my analytical skills to solve complex problems.
I thrive in environments where I can work with a team to brainstorm ideas and solutions.
I appreciate opportunities to use data analysis techniques to uncover insights and drive decision-making.
I value a work culture that encourages continuous learning and professional growth.
I find satisfaction in overcoming ch...
I applied via Referral and was interviewed before May 2023. There were 3 interview rounds.
Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.
Decision tree splits data into subsets based on the value of a certain attribute
It recursively divides data into smaller subsets until a stopping criterion is met
Each internal node represents a decision based on an attribute, and each leaf node represents the outcome
Pressure generally increases with temperature due to the kinetic energy of gas molecules.
Pressure is directly proportional to temperature in a closed system (Boyle's Law).
As temperature increases, gas molecules move faster and collide with the container walls more frequently, increasing pressure.
For example, a balloon inflated indoors may burst when taken outside on a hot day due to increased pressure from higher tempe
I applied via Naukri.com and was interviewed in May 2021. There were 4 interview rounds.
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