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I appeared for an interview in May 2024.
I am a data scientist with a background in statistics and machine learning, passionate about solving complex problems using data-driven approaches.
Background in statistics and machine learning
Experience in data analysis and visualization
Strong programming skills in Python and R
Ability to communicate complex findings to non-technical stakeholders
Maths and stats refer to the study of mathematical concepts and statistical methods for analyzing data.
Maths involves the study of numbers, quantities, shapes, and patterns.
Stats involves collecting, analyzing, interpreting, and presenting data.
Maths is used to solve equations, calculate probabilities, and model real-world phenomena.
Stats is used to make informed decisions, draw conclusions, and test hypotheses.
Both ma...
Confusion matrix what are your job rolls explain me Gradient boosting algorithm?
I applied via Naukri.com and was interviewed in Feb 2024. There was 1 interview round.
Implemented a machine learning model to predict customer churn in a telecom company.
Collected and cleaned customer data including usage patterns and demographics
Used classification algorithms like Random Forest and Logistic Regression
Evaluated model performance using metrics like accuracy, precision, and recall
Diffie-Hellman algorithm is a key exchange protocol used to securely exchange cryptographic keys over a public channel.
It is based on the concept of discrete logarithm problem.
It involves two parties, Alice and Bob, who generate their own private and public keys.
The public keys are exchanged and used to generate a shared secret key.
The shared secret key is used for encryption and decryption of messages.
It is widely use...
I applied via Naukri.com and was interviewed before Jul 2021. There were 3 interview rounds.
What people are saying about NTT Data
I applied via Recruitment Consultant and was interviewed in Sep 2020. There were 3 interview rounds.
I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.
PCA is used to reduce the number of variables in a dataset while retaining the most important information.
Decision trees are used to classify data based on a set of rules and conditions.
Computer vision involves usin...
I appeared for an interview before Jul 2021.
Bagging and boosting are ensemble techniques used to improve the accuracy of machine learning models.
Bagging involves training multiple models on different subsets of the training data and then combining their predictions through voting or averaging.
Boosting involves iteratively training models on the same data, with each subsequent model focusing on the samples that the previous models misclassified.
Bagging reduces va...
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