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I applied via Recruitment Consulltant and was interviewed before Dec 2023. There was 1 interview round.
I applied via Referral and was interviewed before Oct 2022. There were 2 interview rounds.
Yes, I have experience managing teams of 4-5 people in previous roles.
I have successfully managed a team of 5 researchers in my previous role, delegating tasks and ensuring deadlines were met.
I have experience in team building, conflict resolution, and performance management.
I believe in fostering a positive work environment and encouraging open communication among team members.
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I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
I applied via campus placement at Sastra University and was interviewed in Sep 2024. There were 2 interview rounds.
Along with coding round..there's a communication test at the end
posted on 11 Sep 2024
I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.
RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria
Red category typically represents data that needs immediate attention or action
Amber category represents data that requires monitoring or further investigation
Green category represents data that...
Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.
Confusion matrix is a table that describes the performance of a classification model.
It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.
These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...
DSA and ML, AI, Coding question
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.
SQL, Python coding …
Given 6 coding qns related to java and html and also ML.
Projects in machine learning involve developing algorithms to analyze and interpret data for various applications.
Developing a recommendation system for an e-commerce website
Predicting customer churn for a telecommunications company
Classifying images in a computer vision project
Anomaly detection in network traffic for cybersecurity
Natural language processing for sentiment analysis
I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.
Developed a predictive model for customer churn using machine learning algorithms.
Used Python and scikit-learn library for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model performance using metrics like accuracy, precision, and recall
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