Unlabelled Unstructured by UWDSC

Project Program is a month-long experience where University of Waterloo students are supported by the UW Data Science Club and the UW Computer Science Club to create their own project! Groups of mentees go through brainstorming project ideas, creating roadmaps with milestones and achievements, and finally presenting their project for chances to win prizes. If you want to know what it takes to win Project Program, listen to the Codies, Winter 2022's first place Project Program winners, as they explain the ups and downs of their project, WatIAmLost! Welcome Waterloo CS students, Marcus Chan, Sat Arora, Bonnie Peng, and Haley Song. 

How does domain specific knowledge help data scientists to perform better? How is data science used in the digital media industry? To answer these questions, we invited the President of Polar, Matt Crenshaw, on our podcast. If you are interested in the marketing sector of companies and how data is used to make business decisions, give this episode a listen!

What makes up a good data team? How is machine learning and AI used at companies? What is the future of data science? To answer these questions, we invited the CTO and Head of AI at Branded Entertainment Network on this week's episode. If you are interested in data science and machine learning, make sure to check this episode out!

On this episode, we invited David Jeong, the Vice President of Quantitative Research at Morgan Stanley, as our guest. We are very thrilled to have him on this episode as we have wanted a quantitative analyst on our podcast since Season 1. If you want to learn more about different types of trading, the role of a quantitative researcher/analyst, and the skills required to become a quantitative analyst, make sure to check this episode out! 

We are excited to announce that our Season 3 has begun! We have a slight change in the team compared to last season. We have a new co-host, Jay, who will be joining Vedant to run the podcast episodes. On our season premier, Jay and Vedant talk about their journey of becoming the co-host of Unlabelled Unstructured and what they are looking forward to in Season 3. Get to know more about our co-hosts by listening to this episode!

Do you know what goes on in the multi-billion dollar industry? How do people become esports players? On the final episode for Season 2 of our podcast, we invited Adin Abdollahzadeh, an esports player on the Mcmaster University League of Legends team, to talk about the esports industry, what it is like to become a esports player, and how to win the game of League of Legends. If esports is what you are interested in, make sure to check out this episode!

 On this episode, we invited Winnie Luong, a Senior Actuarial Analyst at intactlab, to be our guest. We discuss different factors that led to her current profession and role. We also talk about her love and passion for food! To learn more about Winnie's story and tips on a successful co-op term, check out this episode!

Do you want to know what gaming analysts do at their work? What are some perks and challenges that gaming analysts face? To answer these questions, we invited Jessie Chen, a data analyst at Square Enix. If you love gaming, you should give this episode a try!

With the world changing faster than ever, many people choose to transition between professions in their career. On this week's From the Vault episode, we invited Jonah Lam, a machine learning engineer, to talk about his journey from an actuarial analyst to a data scientist, and finally to his current profession. To learn more about his story and gain insights about adapting to different professions and skills, check out this episode!

Do you want to know how computer models are used to understand scientific discoveries and reasoning? Do you want to know how animals and AI's are performing compared to human intelligence? On this episode, we invited Paul Thagard, a professor of philosophy at the University of Waterloo, to talk about his new book Bots and Beasts, the nature of philosophy and cognitive science, and computational models. If these topics interest you, head over to our podcast channel and listen to our latest episode! Also, if you want to learn more about Professor Thagard's publications and research, visit paulthagard.com for more information.

Do you want to learn about the history of Natural Language Processing (NLP)? Do you want to know how computers analyze texts? On this vault episode, we have Navya Mehta, a University of Waterloo Computer Science student, as our guest to talk about the history of NLP and about how NLP works. If you are interested in NLP or want to explore the concept, check out our vault episode!

Do you want to learn about neuroscience? Have you wondered if artificial neural networks actually emulate the human brain? What are the computational and organizational mechanisms in the brain? On this week's episode, we invited Jeff Orchard, a computer science professor at the University of Waterloo, to talk about some of his research at the Neurocognitive Computing Lab ( https://neurocog.uwaterloo.ca/ ) where he is the director of the lab. In 2017, Jeff won the best paper award at the International Conference on Neural Information Processing. To learn more about these topics, check out our latest episode!

Do you want to know what it is like to work as a data scientist? Are you an aspiring data scientist looking for opportunities in this field? Then this week's podcast is for you! We invited Patrick Ng, Associate Director of the Data Science and Analytics Lab at Scotiabank to talk about the data science roles in different industries, including banks, the future of data science, and co-op experiences as a data scientist. This episode is packed with useful information about the field of data science and analytics and some tips on getting your co-op position at your dream company. Make sure to check out our latest episode!

Can data help athletes improve their performance? How do you predict outcomes of sports games using data? To learn about sports analytics, we invited Ken Jee, a data scientist, focused on sports analytics, and a Youtuber with 165K subscribers to speak with us. In this episode, we will discuss how data analysis is used to improve performance and the struggles sports analysts face in the present sports industry. To learn more about sports analytics, listen to our latest episode!

Are you interested in cryptocurrency? Do you want to learn how to learn about cryptocurrency and gain some tips about investing? On this week's episode, we invited Khalid Ladha, the Director of Supply at Snapcommerce, to talk about crypto. If this captures your attention, check out this week's episode! 

How do we improve our skills? How can we acquire new skills? These are questions we ask ourselves regularly so that we can develop our soft and technical skills. To answer these questions, we invited Nicholas Renotte, who is not only a Data Science Specialist at IBM but also a Youtuber who owns a 38k subscriber channel. To learn about setting goals and achieving them, check out our latest podcast episode!

How can we reach our full potential in life? How do we deal with problems? To answer these questions, we invited Dhaval Patel, a successful software engineer who's worked with Nvidia and Bloomberg. Besides his profession, he is a passionate teacher and he utilises his Youtube channel with 370k+ subscribers as a platform to share his insight and knowledge. This episode is fully packed with life lessons: tips on overcoming challenges, motivating yourself to reach greater goals, and optimizing performance as a data scientist. To learn more about the amazing story of Dhaval, make sure to check this episode out!

In this episode of Unlabelled Unstructured, we have Ran Oren, a University of Waterloo Systems Design Engineering student working in the data science field. He is here today to talk about how to break into the data science field as a student and the differences between computer science and data science.Ran has held over 6 internships in machine learning and data science. He is currently working as a data scientist intern at Facebook. Previously, he has also worked at Wish on the Data Relevancy and Machine Learning teams. As well, Ran has worked in the financial industry (TD Securities and Deloitte) and in the research field as a machine learning research assistant.You don't want to miss this episode especially if you are a student interested in data science and machine learning!

What is Data Engineering and its future? What are the emerging roles in the data field like Analytics Engineering? How do I get hired in the Data Field and then get that "outstanding" performance evaluation?To answer all these questions we gave a call to the Data Expert, Jonathan "Jo/JT/Jon" Talmi. He is the Data Platform Lead and Senior Analytics Engineer at one of the hottest tech startups in Canada, Snapcommerce.Before working at Snapcommerce, he worked in Analytics at Instacart, Shopify and Bank of Canada (Research).PS. In addition to being a Data Expert, Jo is also Jai's manager. So, listen as Jai tries really hard to talk his way into a return offer :)

Tonight we got to talk to the one and only, the legend himself, Henry Shi!He's a UWaterloo CS alum who started his own startup while still in university, scaled that to 2 mill views a day, and got great internships like Bloomberg. And he did all this while maintaining a 96% cumulative average.To take a break from all this, he then chose the "easy life" and worked at Google for a year which he then left to start Snaptravel, now Snapcommerce.Snapcommerce is a messaging service that helps customers find the right products at the right places. After raising more 100 million dollars, Snapcommerce has also become one of the hottest Tech startups in Toronto!