Purpose

This assessment is designed for early professional candidates with 2–4 years of experience in the IT, Software & ITeS industry. Its main goal is to evaluate the candidates' proficiency and understanding of essential data science concepts and techniques relevant to AI roles.

Overview

The assessment consists of questions that cover a wide range of topics essential for the role of an AI - Data Scientist. It is tailored for early professionals with 2–4 years of experience, aiming to evaluate their understanding of core data science principles and techniques. The test focuses on key traits such as analytical thinking, problem-solving, and technical proficiency in statistical analysis, machine learning, and data handling. Candidates are assessed on their ability to apply theoretical knowledge to practical scenarios, ensuring they possess the necessary skills to excel in AI-related roles within the IT, Software & ITeS industry.

• Industry: IT, Software & ITeS
• Level: Early Professional
• Tag: AI - Data Scientist
• Total Questions: 25

Skills

• Statistical Analysis
• Machine Learning
• Feature Selection
• Bayesian Statistics
• Dimensionality Reduction
• Natural Language Processing
• Clustering
• Cross-Validation
• Reinforcement Learning
• Optimization Algorithms
• Time Series Analysis
• Probability Theory
• Regression Analysis
• Neural Networks
• Classification Metrics

Ideal Roles

• Data Scientist
• Machine Learning Engineer
• AI Specialist
• Data Analyst
• NLP Engineer