I am currently based in New York, pursuing a career in data science. I started out as a mobile developer, but switched to data science to align myself with a field that I am really interested in. I have been focused on machine learning, using supervised, unsupervised, reinforcement and deep learning algorithms to solve problems. Some recent projects of mine include building a basic stock price prediction model and classifying e-mails using Natural Language Processing (NLP).

I started out by taking a web development course on Udacity. I learnt the fundamentals while using Javascript, HTML and CSS. From there, I enrolled in a 4 month intensive iOS development program at TurnToTech, a bootcamp based in New York City. I learnt how to code in C, Objective-C and built a few projects and apps. I learnt Python through tutorials on codeacademy and dataquest.io.

I like the sense of reward associated with solving problems. Nothing beats the feeling after solving a tough bug or implementing some cool algorithm that at one point seemed too complex to comprehend. It is also pleasing to be able to look back at my code and be proud of what I have accomplished, regardless of how bad it is. The great thing about coding is that for me it feels like artwork. I can work on it anytime, edit it and improve it.