Data Science With Sam
This is an educational podcast focused on bringing academia and industry experts together in a common forum and initiate discussion geared towards data science, artificial intelligence, actuarial science and scientific research.
DISCLAIMER: The views and opinions expressed in this podcast are solely those of the host(s) or guest(s) and do not necessarily reflect the policy or position of any organization. The podcast is intended to provide general educational information and entertainment purposes only.
Episodes

Tuesday Dec 27, 2022
Tuesday Dec 27, 2022
This coffee chat session features an academia personnel, who shared her fascinating journey from industry to academics during the talk, and it also covers a brief overview her ongoing research work geared towards artificial intelligence and deep learning. Guest speaker: Polina Nemkova, Research Assistant at University of North Texas For any future collaboration, Polina can be reached at nemkova.com If you interested to know more about her AI research work, follow her on LinkedIn https://www.linkedin.com/in/nemkova/

Monday Dec 26, 2022
Monday Dec 26, 2022
Due to the rising threats of cyberattacks and data breaches across different industries, the importance of cybersecurity has become more prevalent in recent years. Have you thought about how data science can help in alleviating this issue ??? Watch this vlog as it uncovers some key insights about how data science can be useful in the field of cybersecurity starting from detecting threat patterns to building classification models for fraud analytics or even predict security threat to safeguard company network infrastructure. Guest speaker 👉 Benjamin Larson, PhD https://www.linkedin.com/in/benjamin-...

Monday Dec 26, 2022
Monday Dec 26, 2022
This coffee chat features a special guest Kofi Burney, Rocket Scientist and Deputy Chief Information Officer at NASA. 📍 During this intriguing chat Kofi shared her journey as a rocket scientist and also provided some great tips that will be beneficial for aspiring students/professionals who are planning to pursue their career at NASA or in space research field in general.Additionally, he shared his perspectives about how AI/machine learning 🤖 could be impactful on space research barring any unforeseeable pitfalls such as model bias, AI compliance issues.

Thursday Nov 24, 2022
Thursday Nov 24, 2022
Imposter syndrome, a feeling of inadequacy and incompetency, impacting working professionals and students in this current era. This episode makes an attempt to break down the intricacies of imposter syndrome and what measures can be taken to alleviate this mental issue.

Tuesday Aug 09, 2022
Tuesday Aug 09, 2022
This coffee chat session features a seasoned Actuary who shared her viewpoints on the importance of data and data management in Actuarial risk assessment study. Guest speaker: Mary Pat Campbell, FSA, MAAA Follow her blog to learn more about Actuarial Science and statistics/mathematics: https://marypatcampbell.substack.com/ After watching this video, you will gather information on the following topics: a) The importance of data in Actuarial risk assessment initiatives, b) a brief overview of Actuarial Standards of Practice(ASOP) and it's significance in managing data quality and data integrity issues in Actuarial world, c) Mary's opinion on how Data Scientists could provide additional support to Actuaries which might pave the way for future collaboration in Insurance industry. Subscribe to my podcast to gain access to future coffee chat sessions featuring academia and industry experts. #datascience #coffeechat #science #research #data

Tuesday Sep 28, 2021
Tuesday Sep 28, 2021
This podcast features two research scholars from scientific community who shared their perspectives on how data plays a crucial role in research area. Guest speakers: Efrosini Tsouko, PhD from Baylor College of Medicine Mausam Kalita, PhD from Stanford UniversityBy listening to this video you will gather information on the following topics: a) the importance of data in scientific research,b) valuable insights about the data handling practices in research areas related to molecular biology, genetics, organic chemistry, radiology and biomedical imaging,c) future of AI and machine learning in scientific research.




