My interests have been pretty clear from childhood. I was always inspired by what a computer could do. Growing up with this advancing technology, every day there has been something new to learn. After my training for the International Olympiad of Informatics to represent India, there was no doubt that I wanted to build things faster and more efficient than before. However, until then I did not know the booming field called machine learning. I always tried to make algorithms to predict something based on heuristic decisions or even just hardcoded bunch of decisions. It was only in UCSD when I took my first Machine learning course, I realized the true potential of Machines and Data and the sweet bond between them. At first it all looked magic
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Mainly because I really like automating things and I started my internship in that. Also, I had not taken any Machine Learning courses until the end of my second internship. I explore multiple teams over the 3 internships and I loved my last internship the most as my manger understood my love for machine learning and he did everything in his power to make my projects data oriented. During my internship I used Hadoop to analyze data and give live updates on the errors and timeouts being thrown. I was analyzing petabytes of data everyday. When I joined full time, I was assigned to the Data Science team, however, as a software engineer. I was responsible for making frameworks to support them and assuring that the recommendations they were creating were actually good and interesting. I was achieving this by automating some minimum thresholds for the analytics I generated from the Data Science teams output. In these 6 months I really felt that I am missing out on the real work I wanted to do. Seeing the Data Science team work on great projects I always felt jealous that why I am not doing it. I did not feel confident enough asking them for a project of my own and always shadowed them. Recently, I found the courage to ask for a pure machine learning project under the Data Science team. I was able to achieve the required goal but I feel that I could have done better if I had more experience in the field. That is why I want
Mainly because I really like automating things and I started my internship in that. Also, I had not taken any Machine Learning courses until the end of my second internship. I explore multiple teams over the 3 internships and I loved my last internship the most as my manger understood my love for machine learning and he did everything in his power to make my projects data oriented. During my internship I used Hadoop to analyze data and give live updates on the errors and timeouts being thrown. I was analyzing petabytes of data everyday. When I joined full time, I was assigned to the Data Science team, however, as a software engineer. I was responsible for making frameworks to support them and assuring that the recommendations they were creating were actually good and interesting. I was achieving this by automating some minimum thresholds for the analytics I generated from the Data Science teams output. In these 6 months I really felt that I am missing out on the real work I wanted to do. Seeing the Data Science team work on great projects I always felt jealous that why I am not doing it. I did not feel confident enough asking them for a project of my own and always shadowed them. Recently, I found the courage to ask for a pure machine learning project under the Data Science team. I was able to achieve the required goal but I feel that I could have done better if I had more experience in the field. That is why I want