MSDS Cohort 12 Series: Tatshini Ganesan and Ian Duke
In the final episode of Cohort 12's student series, we talk with Ian Duke and Tatshini Ganesan about their year in the MSDS program. Ian discusses his practicum at the ACLU training ML models on massive amounts of police body cam footage to flag videos for specific topics like searches or arrests. Tatshini shares about her experience working with Vibrant Data Labs to disseminate climate change-related financial data to companies and researchers who need it. They also give their insights on working in hybrid environments, navigating the work/life balance, and forming community and friendships in MSDS.
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38:27
MSDS Cohort 12 Series: Bassim Eledath and Rishi Mohan
In this episode we talk to two more students from our most recent cohort, Bassim and Rishi, about their experiences in the MSDS program. Bassim shares some insights into how he has optimized his job search process with some noticeable success, and Rishi walks us through his data engineering practicum and decision to enroll in the data engineering concentration.
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38:03
MSDS Cohort 12 Series: Amy Cho and Rashmi Panse
In this episode we talk to two of our graduating MSDS students, Amy and Rashmi, about their experiences in the MSDS program, their strategies for selecting their practicum companies, and the things that most surprised them about getting their MS degrees in Data Science at USF.
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35:35
Lessons Learned from Advanced ML’s Kaggle Competition
The top three winners of our Advanced ML course Kaggle competition join us to share their strategies and lessons learned from training models on real estate listing price data from houses in Spain. Hear how they navigated the decisions involved in model building, including feature engineering, the curse of dimensionality, and the challenge of handling text descriptions in a foreign language.
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24:56
Product Data Science at Microsoft with Kekona Sorenson
In this episode, we chat with Kekona Sorenson, a versatile data science leader at Microsoft. Kekona shares insights on his team’s role in improving Microsoft products through data analysis and experimentation. We also discuss the importance of cultural shifts in data-driven decision making and the need for effective communication in Data Science. According to Kekona, "the thing that separates an average Data Scientist from a great Data Scientist is your soft skills". He also highlights the importance of building trust with stakeholders, and he attempts to sell the role of Product Data Science to an audience enraptured by all things Gen AI.
Faculty from the Master of Science in Data Science (MSDS) program at the University of San Francisco (USF) discuss important topics in AI, DS, and ML with data science practitioners, educators, and leaders. Hear stories and advice about getting into the field of DS and navigating the complex landscape of data-related roles, tools, and technologies.
Hosted by Robert Clements (Assistant Professor at USF) and Cody Carroll (Assistant Professor at USF)
Canada - english