Nice work, algoWatt!  This is a very impressive team, working on an interesting topic. One outstanding question I have for the group is: how I should think about your forecasting and optimization findings, given that the data is mostly from 2019? As we all know, COVID drastically changed how we work and live. How much do you think your results/recommendations would change if you used data from, say, 2022? ... View more

I love this project!  Great work in highlighting both your empirical work - and the software (it's a SAS Hackathon after all).  Moreover, I was really impressed by both the dashboard - and the Markowitz portfolio optimization. For the latter, were you able to pull your open-source results back into your primary dashboard, or was that a stand-alone analysis (i.e., done in Jupyter only)?  Doesn't really matter for the Hack, I'm just here to learn from you 🙂 Great job! ... View more

Thanks for the response and clarifications, WinTech Owls!  I look forward to seeing your project advance, as the morbidity trends in the U.S. are alarming.  Hopefully data - and thoughtful analysis such as yours - can help mitigate adverse outcomes. Put simply, the U.S. can do a lot better in terms of better protecting our mothers! Onwards! ... View more

This is a very interesting project - and I'm excited to hear more about the CNN and your image processing work.  Do you have a link to the long-form (i.e., jury) video?  Thanks! ... View more

Great work, WinTech Owls!  You're tacking an incredibly important issue... one that is surprising in such an industrialized nation such as the U.S.  Moreover, your efforts to connect the statistics/risk factors to an easy-to-use app is impressive! One question about your sample.  I was very surprised to hear that Asian women, aged 20-24, had the highest risk of morbidity. This runs contrary to many reports, such as this one from the Guttmacher Institute (https://www.guttmacher.org/state-policy/explore/maternal-mortality-review-committees?gad=1&gclid=Cj0KCQjwr82iBhCuARIsAO0EAZwYVT6XQfhL13g-wKxiPW0oOexZgROZDJ-8dXW_2qiIw1PC0Oi6dT8aAhJvEALw_wcB), which claim that African American women have, overall, the highest risk factors in the U.S. Anyway, please share if I hear this correctly - and why your data might be a bit different.  I suspect it's the sample (I see 10,000 obs), but am curious, nonetheless. And great work on bringing this important issue to the forefront. And thank you for participating in the Hack! ... View more

I love this project!  Thank you for tackling such an important issue.  It is sad how a tool intended on connecting people (social media) can make people feel more isolated. Just a few technical questions clarifications: (1) Did you use SAS Viya in the cyberbullying classification? and (2) did you use Python to create the social media plug-in?  I'm impressed with your work, so just wanted to know/confirm how all the pieces fit together. Well done... and thanks! ... View more

Great example of Data for Good from an organization focused on helping lift families/individuals out of poverty.  Come for the slick video editing - and stay for the great analytical content... well done, Team! ... View more

Very interesting study and findings, K-Analyst!  Thanks for shedding more light onto the current demographic trends affecting South Korea.  The link between the factors leading to high suicide rates and low fertility rates is very eye opening - and shows that there is a big role for the South Korean government in creating working environments that are much more conducive to families. Great work! ... View more

Thank you for the SAS Studio support for academics, Jen! ... View more

Great job of highlighting students in action.  Thank you for sharing! ... View more

Love this opportunity for students, Sam!  Because Hacking is a great way to refine your skills before hitting the job market.  Moreover, the output from the Hack can be great material for one's analytical portfolio.   Regarding timing - remind us again - when does the next competition kick off? ... View more

Love this write up, Sam!  SAS Skill Builder for students is more than just a learning platform.  Thank you for outlining the ways that students can get started today! ... View more

Well, well: this is a fun, informative article on data scientist leadership.  Thank you for sharing your words of wisdom, Paul!  ... View more

Very big news indeed.  Thank you for sharing, Sundaresh! ... View more

Love this write up!  Thank you for sharing your SAS Viya for Learners success stories - we also think it's a great tool for teaching and learning.  Moreover, I look forward to the rollout of the new version - VFL4 - later this year.  Hopefully! ... View more