To start with , it seems you are already good with python , now you need to get deep understanding of statistics along with knowledge of machine learning models . It will be better if you can get into data science in your own company first , so it will help you to get your profile boosted as a data scientist . For interviews and getting calls , you can connect with me over a call

Before you start giving interviews, you need to cover basic topics in data science and ML. You also need to make sure to pitch relevant experiences in your resume. You need to understand your current proficiency in different topics and prepare based on curated roadmap.

Hi Fakhruddin,

Having made that transition myself, I feel confident that I would be able to assist you with this transition. Start focussing on learning Machine learning as it will play a big role in the transition. You can connect with me over a call to disuss further.

Hey Fakhruddin,

Starting a career in data analysis requires continuous learning, practical experience, and a passion for working with data. Stay motivated, be open to new opportunities, and keep refining your skills. Good luck on your journey as a data analyst!

As an experienced data scientist with 10 years of professional expertise working in product based companies, I can provide continue guidance step by step to land in top Product Based Companies.

I recommend you booking a trial session with me, as I have relevant experience and expertise in the field.https://www.preplaced.in/profile/v-v-s-kushwanth-reddy

Hi,

Check out this video which addresses all your queries: Video Link

To transition to ML engineer, a strong background in Python is required which you have been acquainted with. With that, hone your ML algorithms knowledge, NLP, CV skills and start practicing data analysis via projects on platforms like Kaggle.

I can provide you 1:1 mentorship on Preplaced. Feel free to book your mentorship plan with me and I would be happy to mentor you!