SS&C TECHNOLOGIES Senior Data Scientist Interview Questions and Answers

Q1. What is random forest
Ans. 
Random forest is an ensemble learning method used for classification and regression tasks.
• Random forest is a collection of decision trees that are trained on random subsets of the data.

• Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.

• Random forest is robust to overfitting and noisy data, and it can handle large datasets...read more
Answered by AI
Add your answer
Q2. Bias variance trade off
Add your answer

HackeRank Test

Q1. Give data classifications with scrubbing techniques.
Ans. 
Data classifications with scrubbing techniques
• Sensitive data: remove or mask personally identifiable information (PII)

• Outliers: remove or correct data points that are significantly different from the rest

• Duplicate data: remove or merge identical data points

• Inconsistent data: correct or remove data points that do not fit the expected pattern

• Invalid data: remove or correct data points that do not make sense or violate co
Answered by AI
Add your answer
Q2. Day to day workings and responsibility for product development
Add your answer

They gave a span of 3 days to build an AI-powered webapp

Q1. How would you go about learning a new skill
Add your answer
Q2. Experience in cloud technologies
Ans. 
I have experience working with cloud technologies such as AWS, Azure, and Google Cloud Platform.
• Experience in setting up and managing virtual machines, storage, and networking in cloud environments

• Knowledge of cloud services like EC2, S3, RDS, and Lambda

• Experience with cloud-based data processing and analytics tools like AWS Glue and Google BigQuery
Answered by AI
Add your answer

Q1. Tell me about yourself
Add your answer
Q2. Project details and challenges faced in the project
Ans. 
Developed a predictive model for customer churn in a telecom company
• Collected and cleaned customer data from various sources

• Performed exploratory data analysis to identify key factors influencing churn

• Built and fine-tuned machine learning models to predict customer churn

• Challenges included imbalanced data, feature engineering, and model interpretability
Answered by AI
Add your answer

Q1. Tell me about your self?
Add your answer
Q2. What is maths and stats
Ans. 
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...read more
Answered by AI
Add your answer

Confusion matrix what are your job rolls explain me Gradient boosting algorithm?

Asked the question about ml and basic python questions

Q1. Questions on Python datatypes, class, object, inheritance,
Add your answer
Q2. Machine learning algorithms
Ans. 
Machine learning algorithms are used to train models on data to make predictions or decisions.
• Supervised learning algorithms include linear regression, decision trees, and neural networks.

• Unsupervised learning algorithms include clustering and dimensionality reduction.

• Reinforcement learning algorithms involve learning through trial and error.

• Examples of machine learning applications include image recognition, natural l
Answered by AI
Add your answer
Q3. Sql queries and python coding questions
Add your answer

Q1. Related to project
Add your answer

Q1. Different ML Algorithms
Ans. 
There are various ML algorithms such as linear regression, decision trees, random forests, SVM, KNN, neural networks, etc.
• Linear regression is used for predicting continuous values

• Decision trees and random forests are used for classification and regression

• SVM is used for classification and regression

• KNN is used for classification and regression

• Neural networks are used for complex problems such as image recognition and
Answered by AI
Add your answer
Q2. Python Libraries
Add your answer

Q1. About Resume and basic ML
Add your answer