I love open source 💖

I heard about open source last year at the age of 16 and I really love the idea of open source. Instead of consuming entertainment, I started following my curiosity.🫰

1 year later, here we are !!!🤓

Now, I am a 17-year-old self-taught data scientist with a deep passion for solving real problems in the world.
I am working day and night to build real-world solutions that have a positive impact on the common man and make their life easier. 🤖

Thank you for your support! 💙

Why sponsor me: 🤝

1. By sponsoring me, you will be supporting a young, ambitious data scientist who is dedicated to using technology for the greater good. My focus on building real-world solutions that help people aligns with many organizations' missions and values.
2. You will have access to my cutting-edge expertise in data science and machine learning. I am dedicated to staying at the forefront of the field and developing new techniques and technologies.
3. You'll also be helping with my health and well-being, avoiding burnout, and taking more time for self-care.
4. I am a self-taught data scientist, which means I have a unique perspective on the field and I am constantly looking for new and innovative ways to solve problems.
5. By supporting me, you will be investing in the future of technology and the data science community, as I am committed to using my skills and knowledge to make a positive impact on the world.
6. As a young person, I bring fresh perspectives and new ideas to the table which can be valuable to a wide range of companies.
7. You will be giving me the resources to continue to learn, grow and share my knowledge and skills with others who are interested in data science.

How I will use the donations :🙌

• buying a piece of better computer equipment or software to improve the quality of the projects.
• cover the expenses of attending data science-related events to learn new skills and techniques
• Sponsor other amazing developers.
• Provide educational resources to people who are interested in learning data science but do not have the resources (also create content around data science)