From Electrical Engineering to Data Science: A Journey of Transition and Growth

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Explore the inspiring journey of transitioning from electrical engineering to data science, overcoming setbacks, and embracing freelancing opportunities. Discover the key insights and experiences of this transformational career path.

Transition to Data Science

⚡️Started with electrical engineering and transitioned to freelancing and data science

💼Discussed non-technical job search process and average package received as a fresher

🌟Received a package of 3.5 as a fresher starting in the field

Challenges and Growth

🚚Started with small deliveries and grew to a significant achievement of 250-300 deliveries

🛑Experienced a major setback with a complete shutdown due to the pandemic in 2020

💪Transitioned to freelancing and eventually found trust in selling and transitioning to data science

Evolution in Career Path

💻Realization of needing to pursue computer science after startup phase

🔄Transition from startup to freelancing due to completion of startup phase

📊Initial idea of SQL in the startup phase leading to understanding of data organization

Learning and Development

🔍Freshers face challenges in interviews due to lack of focus on basics like Python and SQL

📚Realized the need to prioritize learning Python and SQL for data science

⚙️Importance of understanding algorithms and basics like logistic regression in data science interviews

FAQ

What are the key skills required for transitioning to data science?

Key skills include proficiency in Python, SQL, understanding of algorithms, and basics like logistic regression.

How can freshers prepare for data science interviews?

Freshers should focus on learning Python, SQL, and understanding algorithms to excel in data science interviews.

What led to the interest in deep learning and AI?

Experience in the corporate world sparked an interest in deep learning and AI for further learning opportunities.

Why is self-learning important for preparing for a data science role?

Self-learning allows individuals to explore their interests, such as AI, and gain valuable skills for a data science career.

How did the transition from a corporate job to freelance work impact learning opportunities?

Transitioning to freelance work provided valuable learning opportunities and flexibility for exploring new areas like AI.

Summary with Timestamps

⚡ 0:00Transition from engineering to freelancing and data science with insights on job search and packages.

⏳ 4:39Evolution from small deliveries to business shutdown to new beginnings in freelancing and data science.

⚡ 9:43Evolution from academic field to startup to freelancing, leading to a career in data science.

🔑 13:03Challenges faced in transitioning to data science field and importance of focusing on Python and SQL skills.

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