Saveree Joshipura: The importance of a learning attitude
I came to UCSD as a declared Mathematics – Computer Science major. When I heard about the new Data Science program, I switched majors in the split-of-a-second. As I started to attend town hall meetings, they assured me that I made the right decision. Squeezing an intense four year major in three years may not be possible in other departments, but the support of the advisors, professors, and faculty has made this an achievable goal that I will be reaching in June.
Last summer, I worked at Applied Materials, a semiconductor chip manufacturing company in Santa Clara. AMAT showed me the power of the design of the Data Science curriculum at UC San Diego. In the span of 10 weeks, I was able to use every skill I learned in all of my classes and apply it directly to the workplace. My job included building & training ML/DL models to automate the business processes of shipping products across international borders using Python, scikit-learn, predictive modeling (logistic regression), Tensorflow, Keras, and other open source tools.
This summer, I had the opportunity to speak at the Open Source Summit & Embedded Linux Conference North America 2019. My talk covered the following:
“This talk will focus on the gaps that exist in today’s enterprise workforce and university education as it relates to the new STEM and Data Science workplace. Specifically, as major educational institutions launch undergraduate Data Science degrees, the industry is looking at data scientists with 3-5 years of experience. How can universities and enterprises collaborate to reduce this gap? Ideas include incubators on campus and departments prioritizing open source development work within courses. We will also cover the gaps of expectations in priorities when millennials and Gen Z join the workforce – hired by executives from the classic Gen X school of people management. The talk will also go into use cases from real-world to show how Open Source is the key to solving this major disconnect!”
AlchemyX & Linux Foundation:
Two summers ago, I worked at Metrim Data, which is a startup within AlchemyX. “AlchemyX is a startup that focuses on training deep models to scrape social media sites and structure information valuable to businesses.” (https://metrim.co/). I came in with only two skills – Python and Java. But through work, I was able to learn and gain exposure to Keras, Neural Networks, tSNE, CorEx Topic Modeling, and so much more. Through this job, I realized it is more important to come in with a learning attitude rather than a vast skillset.
I also interned at the Linux Foundation in San Francisco, as part of a project called Deep Learning Foundation, which is an “umbrella organization that will support and sustain open source innovation in artificial intelligence, machine learning, and deep learning while striving to make these critical new technologies available to developers and data scientists everywhere.” My tasks varied on a weekly basis, but it felt rewarding to finally put what we had learned in DSC10/20/30 to use in the real workplace.
Apart from school, music is my number one passion. I’ve been singing and performing since I was 3 years old and hope I can combine my passion for music with a career in technology one day. (instagram.com/savereemusic)
We still have a long way to go, and I am looking forward to this journey with such driven, enthusiastic, and encouraging peers. I feel to be proud of the first graduating class, and I can’t believe my time at UCSD is almost over. Feel free to reach out at email@example.com. 🙂