Stay ConnectedI’m Daliana Liu, an ex-Amazon data scientist turned career coach and content creator with 300k followers on LinkedIn. I interview data science and AI practitioners on how they tackle practical problems and navigate career challenges. We cover both technical skills and soft skills. Each conversation is like having lunch with a mentor and friend.
I share more about my career adventure and the lessons I learned with 22k subscribers, join here: https://www.dalianaliu.blog/
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Harpreet Sahota is a data scientist and ML developer advocate, he is also the host of “artist of the data science” podcast and weekly data science happy hours, he is the principal data science mentor at data science dream job. He is also a philosophy nerd. He had some struggles when he tried to get into data science, and today we’ll talk about his experience as a biostatistician, data scientist, lessons he learned from his journey and from mentoring other people, and how he turned his life around. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
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Harpreet's Linkedin: https://www.linkedin.com/in/harpreetsahota204/?originalSubdomain=ca
The artist of data science podcast: https://theartistsofdatascience.fireside.fm/
Youyang Gu is the creator of http://covid19-projections.com. In 2020, while most Covid prediction model failed, without any experience in medicine he created a forecasting model that outperforms almost all medical experts. Yann LeCun, Facebook's chief AI scientist and professor stated that Gu's model "is the most accurate to predict deaths from COVID-19", surpassing the accuracy of the well-funded Institute for Health Metrics and Evaluation COVID model. It was cited by the Centers for Disease Control (CDC) in its estimates for U.S. recovery.
Currently, he is a member of the Technical Advisory Group at the World Health Organization. Working on laying the groundwork for a comprehensive, global study to document and analyze differences in levels of mortality attributable to COVID-19 between and within countries.
Today we talked about how he built the model, lessons he learned, his advice for data scientists and what his working on today. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Youyang's blog: https://youyanggu.com/
Youyang's Twitter: https://twitter.com/youyanggu
Willem is the creator of Feast, an open-source feature store (feast.dev), building tools at the intersection of engineering, data, and ML. Currently, he work as a Principal engineer at Tecton, Leading the development of Feast, an open source feature store. Previously, he has worked in South Africa, Thailand, Singapore before he moved to San Francisco in the US. Today we’ll talk about machine learning in production, cool projects he worked, machine learning in startup and how to pick the right data science track for your career. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
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Willem's Linkedin:https://www.linkedin.com/in/willempienaar/
Muazma Zahid is a leader in data and AI, speaker and researcher in Biomedical Engineering with several international publications and awards. We talked about machine learning in healthcare, how to scale data science solutions, her journey from a ML researcher to data engineer to engineering manager to a product leader.
She joined Microsoft in 2018 as a data engineer, later became a senior manager in software engineering, and now she is a principal product manager. She won the mentor of the year award in 2020 by Women Tech Network. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Muazma's Linkedin: https://www.linkedin.com/in/muazmazahid/
Rami leads the data science and engineering team at Apple Finance Decision Support. He uses advanced statistical and machine learning models to help leadership make better decisions. He is also an open-source contributor and the author of Hands-On Time Series Analysis with R and several R packages for time series analysis and machine learning applications. He has a master degree in applied econometrics. We talked about time series, open source, MLOps and his career journey. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Rami's Linkedin: https://www.linkedin.com/in/rami-krispin/
Rami's Github: https://github.com/RamiKrispin
Rami's Twitter: https://twitter.com/Rami_Krispin
Rami's Blog: https://ramikrispin.github.io/
Kyle Kranen is a Deep Learning Software Engineer at Nvidia. Researching, implementing, and optimizing state of the art distributed deep learning models, using mainly Pytorch and Tensorflow. He has a unique combination of skillset of both hardware and software engineering. We talked about Graph Neural Network (GNN), Temporal Fusion Transformer (TFT), time series, and other deep learning research topics and his career journey. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Kyle's Linkedin: https://www.linkedin.com/in/kyle-kranen/
Auren Hoffman is CEO of SafeGraph: the place for data about physical places. We talked about how to use analytics and machine learning to find truth in data, geospatial data and their use cases, the impact of DaaS, and what he looks for when he develops talents. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Auren's Twitter: @auren.
Gilbert Eijkelenboom is the founder of Mindspeaking, a training program helping data & analytics professionals improve their business understanding, persuasion, and storytelling skills. He wrote the best-selling book “people skills for analytical people”. We talked about to get buy-in from stakeholders, how to build work relationships as introverts, how to earn trust, how to tell compelling stories with data, and lessons he learned from playing poker. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Gilbert offers various free materials:
Free self-assessment of your Data communication skills (3 min): mindspeaking.com/maturity-model
Free preview of People Skills for Analytical Thinkers: mindspeaking.com/book
Free email course: mindspeaking.com/conversationKen Jee is the head of data science@Scouts Consulting Group and a YouTube creator with over 180k followers. Today we talked about sports analytics, how to grow your career and get promoted, how to explain complex concepts to stakeholders, how to build personal brands as data scientists.
If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Logan Kilpatrick is a machine learning engineer at Apple, Developer Community Advocate of Julia. He is a teaching fellow at Harvard extension school, and currently doing a master program of science in Law. Today we’ll talk about how he became a Machine learning engineer, the internship he did in NASA, why you should care about open source communities, Julia, what the future of machine learning looks like, make sure you stay till the end. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Logan's Twitter: https://twitter.com/OfficialLoganK?s=20
Logan's LinkedIn: https://www.linkedin.com/in/logankilpatrick/
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