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I applied via Naukri.com and was interviewed before Nov 2020. There was 1 interview round.
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I applied via Naukri.com and was interviewed before Mar 2020. There were 4 interview rounds.
I applied via Referral and was interviewed before Apr 2021. There were 2 interview rounds.
I applied via Campus Placement and was interviewed in Jan 2017. There was 0 interview round.
My final year project was on developing a machine learning model for predicting stock prices.
Used historical stock data to train the model
Implemented various machine learning algorithms such as Random Forest and Gradient Boosting
Evaluated the model's performance using metrics such as Mean Squared Error and R-squared
Explored feature engineering techniques to improve the model's accuracy
My favorite topic is psychology.
I find the study of human behavior and thought processes fascinating.
I enjoy learning about different theories and approaches to therapy.
I am particularly interested in the intersection of psychology and technology.
One of my favorite books on the topic is 'Thinking, Fast and Slow' by Daniel Kahneman.
I applied via Walk-in and was interviewed before Jul 2019. There was 1 interview round.
I applied via Referral and was interviewed before Oct 2020. There was 1 interview round.
I applied via Naukri.com and was interviewed before Jul 2020. There were 3 interview rounds.
Performa is a performance monitoring tool for HPE 3PAR storage arrays.
Performa provides real-time monitoring of storage performance metrics.
It helps identify performance bottlenecks and optimize storage performance.
Performa can generate reports and alerts based on user-defined thresholds.
It can also be used for capacity planning and trend analysis.
Examples of performance metrics monitored by Performa include IOPS, late
I applied via Campus Placement and was interviewed before Dec 2019. There were 5 interview rounds.
based on 1 review
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