Hi Saad,

Here's a roadmap for transitioning into a Data Scientist role with your background in Quantitative Economics:

Begin by solidifying your mathematical and statistical foundation. Next, focus on programming skills, particularly Python. Explore libraries like NumPy and Pandas for data manipulation. Complement this with data visualization using tools like Matplotlib and Seaborn.

Delve into machine learning fundamentals and advanced topics such as deep learning with frameworks like TensorFlow and PyTorch. Leverage your Quantitative Economics program to apply your quantitative skills to real-world economic data analysis.

For cracking AI/ML/Data Science interviews, you can read my blog 'Top Interview Questions for AI/ML roles in MAANG companies' which will help you in interview preparation.

Feel free to connect with me for 1:1 LTM mentorship at Preplaced, where I can help you with personalized preparation, project guidance, resume building and mock interviews.

Here's a roadmap for transitioning into a Data Scientist role with your background in Quantitative Economics:

• Focus on mastering statistics, mathematics, and econometrico solidify your foundation. 
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• Enhance programming skills with Python and R, emphasizing data manipulation, visualization, and analysis. 
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• Dive into machine learning algorithms and techniques, including regression, classification, and clustering. Learn SQL for data handling and preprocessing. Explore advanced topics like deep learning and natural language processing. 
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• Engage in real-world projects or internships to apply your skills. Network with professionals in the field and showcase your projects on platforms like GitHub and Kaggle. 
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• Stay updated with the latest trends through continuous learning via online courses and research papers.

By following this roadmap, you'll be well-prepared to pursue a data scientist role, leveraging your background in quantitative economics and experience in the IT sector.

If you need further guidance in upskilling in any of these areas or need a clear roadmap on how to prepare and crack Quant roles, please feel free to book a Trial session with me. Please check my Linkedin for your reference.

If you would like to proceed, please let me know, and we can schedule our first free trial session at Preplaced.