Founder of a $3 million revenue startup has transitioned into a data scientist, sharing insights on the future of data science in 2024 and the roadmap ahead.

Data scientist journey: Facing setbacks, I took a pivot. Learning data science, I found my path. Challenges: Continuous learning, new trends. Advice for the future: Python skills, project-based learning, stay updated, long learning curve, interview prep, entrepreneurial wisdom, understanding market trends. Role: Embrace data science with zeal and determination, and success will follow. 🚀📈 #DataScienceJourney

📈 Lesson in Resilience

As we join ashitosh, a startup founder turned data scientist, on his journey, he shares the inspiring story of overcoming challenges and pivoting from one career path to another in the face of adversity.

Key Takeaways

📚 Finding a New Path

do something new I had idea of a we were planning do local deliveries in Hyderabad in 120 new back in startup…

Takeaways

• The importance of structured learning in charting a successful career path
• Overcoming challenges and finding new opportunities amidst setbacks

📝 A Pivotal Moment

…difficult um did not have bank in hand but there an who really in time um business when came home because until the business I used to back home used in the and I used to a home the office so can know yeah but was sitting at home…

Reminder

• It’s essential to remain adaptable and open-minded in transitioning careers and exploring new opportunities
• Finding inspiration and learning resources in unexpected places can lead to pivotal breakthroughs

🚀 Transforming Challenges into Opportunities

…it’s very looking how uh AI is the talks AI so data is a very good and learning this particular thing right so like you have decided I to enter into the you might have done some market research but after that my channel are a lot…

Challenge in Data Science

• The importance of continually learning and updating one’s skills to stay relevant in the field
• The significance of hands-on experience and project-based learning in advancing one’s career in data science

📊 Structuring the Learning Path

…keeping you dirty that will very much helpful for you you start with a project like you a company should like an to you least okay this is something that done probably that I’m in the organization might be big but at have basic Foundation to it…

Advice for Aspiring Data Scientists

• The long learning curve and enduring challenges make data science an ideal career path for those who are willing to continuously learn and adapt
• The necessity of staying updated on emerging trends and technologies to thrive in the dynamic field of data science

💼 Navigating the Data Science Field

…question that obviously people will have is okay uh you people about you people are uh learning structure but what about interview questions that the Keen thing do of the things you an…

Words of Wisdom

• The importance of hands-on experience with programming languages and project-based learning before tackling interview questions
• Seeking mentorship and structured interview practice to enhance one’s chances of success in data science career aspirations

🌱 Embracing Emerging Trends

…um get very strong Hands-On on python for uh the first difficulty getting your hands on on Python and people don’t have the basic Python and move on do projects they do that they are not to pop basic they to do string concatenation and they they…

Staying Updated in Data Science

• Overcoming the challenge of finding resources and up-to-date content in the relatively new field of data science
• The necessity of embracing innovative trends and continuously updating skills to stay ahead in data science

🔍 Exploring New Horizons

…three mock interviews at which really helped me to okay this is important and currently where working you’re working in a product based you are doing the data science work is included as part of your regular work…

Adapting in Data Science

• The need for practical preparation through mock interviews and structured learning in preparing for data science career opportunities
• Balancing hands-on data science work in a product-based company with continued learning and preparation for the challenges ahead

🛠 Navigating Projects in Data Science

…talks AI so data is a very good and learning this particular thing right so like you have decided I to enter into the you might have done some market research but after that my channel are a lot…

The Role of Projects in Data Science

• The value of accomplishing hands-on projects and developing a strong foundation to succeed in data science roles
• The importance of professional development and continuous project involvement to thrive in data science careers

⁉️ The Future of Data Science

…fields to map has be structure to what you’re and there has self- evaluation am actually right learning is is the path that I’m taking is your case did you figure the structure that want learn and who you okay like a very thing I know if I say this here uh four…

The Road Ahead

• Insights into the evolving landscape of data science and the importance of continued learning and self-evaluation in the field
• Embracing trends and embracing learning structures to navigate the ever-changing landscape of data science practice and careers