Tavishi Transition Story To Data Science With 6 Offers And 170% Hike

TL;DR

Tavishi shares her journey of transitioning into data science and the challenges she faced along the way.

Transcript

so hello all uh my name is Krish and welcome to my YouTube channel today we have with us tavishi and probably after many days I am making this kind of transition stories videos uh specifically with people who have made transitions welcome uh definitely there'll be a lot of thing to have a discussion in this podcast uh but first of all congratulatio... Read More

Key Insights

• 👶 Transitioning into a new career, like data science, requires dedication and continuous learning.
• 💪 Building a strong foundation in basic concepts is essential for success in data science.
• 🌍 Real-world projects and assignments are crucial to showcase skills during interviews.
• 🤩 Consistency and continuous practice are key to mastering data science techniques.
• 🦻 Keeping detailed notes and revising regularly can aid in understanding and recalling concepts.
• 🎮 Online tutorials and resources like YouTube videos can be valuable learning tools.
• 🔬 English proficiency and communication skills are important for data science interviews.

Questions & Answers

Q: How did Tavishi prepare for her transition into data science?

Tavishi focused on building a strong foundation in basic concepts, followed by step-by-step learning. She emphasized understanding the "why" behind techniques and implemented end-to-end projects.

Q: What was Tavishi's interview process like?

Tavishi had multiple rounds of interviews, including assignments where she had to showcase her skills by creating machine learning models and solving real-world problems. The interviews also tested her knowledge on topics like logistic regression and overfitting.

Q: How much time did Tavishi spend preparing for the interviews?

Tavishi emphasized consistency and dedicating daily hours to learning. She recommended investing time in understanding the basics and keeping updated with new developments in the field.

Q: How did Tavishi overcome difficulties during her preparation?

Tavishi kept detailed notes and revised concepts regularly. She also watched online tutorials and found printouts helpful for revision. Tavishi emphasized the importance of persistence and not giving up.

Key Insights:

• Transitioning into a new career, like data science, requires dedication and continuous learning.
• Building a strong foundation in basic concepts is essential for success in data science.
• Real-world projects and assignments are crucial to showcase skills during interviews.
• Consistency and continuous practice are key to mastering data science techniques.
• Keeping detailed notes and revising regularly can aid in understanding and recalling concepts.
• Online tutorials and resources like YouTube videos can be valuable learning tools.
• English proficiency and communication skills are important for data science interviews.
• Networking and seeking guidance from experienced professionals can provide valuable support during the transition process.

Summary & Key Takeaways

• Tavishi initially aimed to become a fighter pilot but had to change her career path due to medical reasons.

• After working in a different role at Snapdeal, she realized her interest in data science and started working as a data analyst at Polygon Fabrics.

• Tavishi faced difficulties in interviews and joined iNeuron to improve her skills. She eventually secured multiple job offers in data science.