In this episode of ProjectPro Industry Talks, our Co-founder Binny Mathews is joined by Siddharth Tiwari, Principal Data Scientist at Fidelity Investments, to discuss the evolving landscape of data science skills in the age of generative AI (GenAI) models. They explore transitioning from traditional roles to data science, highlighting the differences between formal courses and real-world project experience. He also delves into the impact of large language models (LLMs) like GPT-3 on end-to-end machine learning projects, key data science skills, tips for aspiring data professionals navigating this changing landscape, and much more! Whether you're a seasoned data scientist or just starting your journey, this insightful conversation will help you better understand the key data science skills needed to thrive in the age of GenAI.
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00:00 Introduction
00:42 Transitioning to Data Science
08:12 Data Science Courses Vs. Real Project Experience
11:14 Evolving Responsibities with Seniority
13:29 LLMs in End-to-End ML Projects
18:16 LLMs vs. Traditional ML Skillsets
23:00 Tips for Aspiring Data Professionals
32:03 Conclusion
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