Episodes
27
Latest episode
May 2026
Language
EN
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)
In the second and final part of this interview, Georgia and Trevor talk about the importance of access and equitability in the tech space when it comes to working with nonprofits and other NGOs. They also chat about finding the balance between a fast-paced program like MSDS and how to still enjoy all that San Francisco has to offer.
In the first part of this two part episode, Georgia and Trevor sit down and discuss what it means to use high-powered data science techniques to uplift and support underserved communities. Georgia also talks about her experience in the MSDS program, and Trevor talks about how his background in mathematics made a difference in challenging courses.
In this episode, Rebekah and Vitoria share how the Bootcamp EDA project pushed them beyond “just making plots” and into building a clear, credible narrative that a real stakeholder could act on. They talk through how they chose what to show, how they structured the story, and how design and interpretation choices can change what an audience takes away. If you’ve done EDA before but want to communicate insights with more impact, this one is for you.
Cody and Robert speak with Shan Wang, the Program Director for the Master of Science in Data Science program at University of San Francisco, about data science education and where it may be going during these quickly changing times.
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.
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.
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.
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.
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.
In this episode, we speak to Nico Thiébaut, a seasoned machine learning engineer with a PhD in Physics. Nico shares his experiences working on the popular gaming platform Roblox, highlighting the platform's growth and the challenges of creating engaging, user-generated content. We also discuss the role of machine learning in game development and the ethical complexities of content moderation on large platforms. Our hosts, Cody Carroll and Robert Clements add their insights on human moderation and the importance of soft skills in consulting.
Claim this listing to keep it up to date, reach guests who want to pitch you, and manage bookings with Guestify.
Claim this listing
Jeremy Snyder
Richey Malhotra
Drive Electric Alabama
Proxify
Rupa Singh
The National Academy of Sciences
