Blog – Inttrvu

Data Science Career Opportunities, Data Scientist Roadmap, roles and responsibilities of data scientits, ai engineer roadmap, Salary, AI Product Manager, Prompt Engineer, Data Scientist, gen ai,ai, data scientist salary

Data Science Career Opportunities & Roles : Data Scientist RoadMap & Salary

The blog explores top Data Science career opportunities in today’s AI-driven world, covering key Gen AI jobs like Data Scientist, Prompt Engineer, AI and Machine Learning Engineer, AI Researcher, and AI Product Manager. It outlines each role’s job description, salary expectations, and a clear roadmap for beginners and professionals alike. With the rise of Generative AI job roles, skills in AI, machine learning, and prompt engineering are in high demand. Whether you’re starting from scratch or pivoting your career, this guide is paired with expert training from INTTRVU.ai, helps you navigate the future of tech.

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Machine Learning Projects in 2025: Top 5 ML Projects to boost your Career

Blog / By Rohit Mande

Machine Learning Projects in 2025: Top 5 ML Projects to boost your Career Get Ready to Build Game-Changing Projects in AI ML and Python! Ever feel like everyone’s talking about AI and Machine Learning, but no one tells you how to actually build something real?You’re not alone. Many learners get stuck after completing an introduction

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What Is Generative AI and How Does It Work?

Blog / By Rohit Mande

Generative AI works by using advanced machine learning models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), to analyze patterns in data and create new, realistic content. It mimics human creativity by generating text, images, music, and even videos.

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Data Science vs. Data Analytics: The Key Differences You Need to Know

Blog / By Rohit Mande

In today’s data-driven world, Data Science and Data Analytics have become two of the most sought-after fields, offering tremendous job opportunities. However, choosing the right path can be confusing. In this article, we’ll explore the key differences between Data Science and Data Analytics, focusing on their scope, goals, job roles, necessary skills and potential salaries. By the end, you’ll have a clearer understanding of which career path might suit you better.

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How to Create a Winning Data Science Resume: A Complete Guide for Data Scientists and Freshers

Blog / By Rohit Mande

Creating a strong data science CV is crucial, but many candidates unknowingly make common mistakes that prevent them from getting shortlisted. From highlighting irrelevant experience to missing out on key industry skills, this article explores the pitfalls you should avoid and offers actionable tips to boost your chances of landing that interview. Learn how to craft a CV that stands out in the competitive field of data science.

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The Impact of AI on Jobs: What Freshers Need to Know

Blog / By Rohit Mande

The IT sector has been at the forefront of technological evolution for decades, but the last few years have witnessed unprecedented advancements. Technologies such as Data Science, Machine Learning and Artificial Intelligence (AI) are reshaping the landscape. As companies like Amazon, Google and Facebook integrate AI into their services, the future of the IT industry is undeniably linked to the potential of AI. For freshers and students, understanding how AI will influence IT careers is crucial to navigating the evolving job market.

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Applications of Data Science Across Business Domains

Blog / By Rohit Mande

With the advancement of generative AI and tools like ChatGPT, the possibilities for applying machine learning and AI have expanded significantly. Data science and AI are essential to developing intelligent products, websites and applications, fostering innovation across sectors. This is just the beginning of a revolutionary journey and the potential for growth and innovation is limitless.

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