Mansi Sampat

A proper blend of Computer Science technologies with electronics, is a root of a broad and innovative field, the applications of which extends to all facets of entrepreneurship and societal development. I believe, the applications of Computer Science in the real life for the betterment of the society and making living standards better gives an entirely different charm to the field.
Having worked on “Brain Computer Interface using Machine Learning and Signal processing”, I explored various fields of Machine Learning, Signal Processing and Analog Circuits, I have developed deep interest in the field. I have completed various projects, both as a team and individual projects, through which I have not only developed coding skills but have also developed team spirit and the art of working under deadlines. Also, being a regular participant in competitive coding challenges, I have developed an effective problem solving approach using “Data Structures”.
I started Machine Learning with a course by Andrew NG on coursera and further extended my work by implementing mini projects including “Handwritten digit recognition”, “Object Recognition” in Python. Through implementation, I not only gained proficiency in coding skills and Python open-sources including PyTorch, tensorflow, etc. but also achieved conceptual clarity in the subject. Further as a part of Summer Internship I worked upon “Brain Computer Interface”, which boosted my interest in the field and exposed me towards its real life applications.
It is the exploration which has helped me gain interest in the field. Further as a part of hackathon, I would like to combine all that I have learned so far, learn from the other participants which will further help me gain deeper insight in the field.