About Me

I am a data science Intern focused on AI applications. While this often means machine learning and deep learning it often means web app development and other things. AI is only a component of a successful AI application.

I am currently learning Artificial Intelligence using the platforms namely, kaggle, fast.ai and Quantum Computing using Qiskit, Google Cirq. I am also a big fan of HQPINNs (Hibrid (Classical and Quantum) Physics-Informed Neural Networks) and I am learning about them using Microsoft QNN. I'm particularly excited by the cutting-edge technologies emerging from Answer.AI, led by Jeremy Howard, specifically FastHTML and MonsterUI.

My primary hobby is learning a new technology, I inspired by Jermey Howard , Elon Musk, Andrew Ng, IBM Quantum Computing and Google's Kaggle, where I'm learning my desired technologies.

👨‍💻 How to get into data science 👩🏻‍💻

I recommend working through the fastai courses. These are fantastic courses that teach great content, but also in an approachable way that enable you to use what your learn on real problems right away.

Tinker with everything. Try to never ask “Would it work if I did X?” or “Can I accomplish X by doing Y?”. Instead, try it and see if it works. It’s worth the time investment.

Do projects Do projects in parallel with courses, and after courses. Don’t wait. Build stuff. Doing projects should be where you put most of your time.

Teach to learn Teaching is a great way to learn, and if you have a record of it you build a portfolio at the same time! I am a fan of doing this via blogging for many reasons. See my FAQ for some help getting started.

Keep at it and be tenacious. There is discomfort with learning any skill. You’ll be frustrated at times. That’s a sign that there’s a concept worth learning and once you do figure it out you’ll have made a big step forward.