It's been 3 years of sinusoidal entrepreneurial journey which evolved me into a better problem solver using the futuristic technologies. I started off venturing into the startup space while we four co-founders were developing a shared economy based tech solution in our garage "BreadnPulp". I found my first use case of machine learning in developing a recommendation engine for our users to recommend most relevant dishes. That was the point when I started my tech journey and since then it's been a build-measure-learn feedback loop. I have done extensive work on recommender and hybrid recommender systems, regression and classification models, use of ensemble methods to generate better predictions, trained neural networks for image classification and text classification using NLP. Since, Data Science in Flyrobe started with me I also have hands on experience in building an entire data pipeline and architecting data storage model using MongoDB. I also have experience in building REST API using flask framework. Currently, my area of research are NLP and RNN deep learning models and I look forward to their application in ed-tech space.