Daliana's Game

Daliana Liu
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Feb 3, 2022 • 1h 43min

From Apple store specialist to ML engineer at Apple, build a portfolio through open source projects, Julia Language, with Logan Kilpatrick - The Data Scientist Show #024

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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Jan 27, 2022 • 1h 44min

Tackling complex ML problems with small steps, MLOps best practices, pre-model analysis, from marketing analyst to principal ML researcher with Nathan Landi, The Data Scientist Show #023

Nathan Landi is a principal quantitative researcher at TEKSystems. He is on the advisory board of MLOps world. We talk about pre-model analysis using information value, MLOps best practices, multi-stage modeling, tackling complex problems with simple models, interview tips, and how he grew his career from marketing analyst to principal ML researcher. 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 The mentorship service mentioned is SharpestMinds, it's free to sign up here. Nathan's Linkedin: https://www.linkedin.com/in/nathanielglandi/
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Jan 20, 2022 • 1h 20min

Data-driven sales strategies, sales metrics, how to collaborate with business leaders with Dennis Yu - The Data Scientist Show #022

Dennis Yu is a Revenue and Strategy Leader, currently he is the Merchant Success Team Lead at Shopify, he’s on the advisory board of USC startup accelerator, and he is also leading Talent and Professional Development for Asian ERG at Shopify. 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 Dennis's Linkedin: https://www.linkedin.com/in/dennisyyu/ Today we’ll talk about what business leaders look for in data science projects and his career journey. Sales metrics: LTV GMV band, etc Example of how he would grow sales revenue How to tell the stories with data How data scientists and business leaders should collaborate His career journey How growing up as an Asian American shaped his perspectives
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Jan 13, 2022 • 1h 40min

Economic thinking and a must-listen mini MBA for data scientists with Airbnb VP and Wharton Professor, Amit Gandhi - The Data Scientist Show#021

Amit Gandhi is a technical fellow and VP at Airbnb. He is a professor in economics at the Wharton School in the University of Pennsylvania. He gave as a master class on economic thinking and a mini-MBA tailored for data scientists. We also talk about his career journey, decision-making, machine learning, economics, and his advice to data scientists, make sure you stick to 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 Amit's Linkedin: https://www.linkedin.com/in/amitgandhiecon/
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Jan 5, 2022 • 1h 19min

Translating ML model’s output into financial impact, fraud detection, financial modeling at Google, interview preparation with Dan Lee - The Data Scientist Show #020

Dan Lee is the an ex-Google data scientist turned founder of DataInterview - an interview prep platform for data scientist. We talked about how to translate model results into dollar amount, fraud detection models, quantitative thinking, data storytelling, best practices in exploratory data analysis (EDA), and interview prep tips. 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 His Linkedin: https://www.linkedin.com/in/danleedata/ Interview Prep: https://dataInterview.com
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Dec 30, 2021 • 1h 14min

Unlocking the power of emotional intelligence for your career success, how to handle toxic relationships and how to regulate negative emotions with Marc Brackett - The Data Scientist Show #019

Marc is a Yale Professor and the founding director of Yale Center for Emotional Intelligence. He wrote the best selling book “Permission to Feel”. Today we’ll talk about how we can use emotional intelligence to empower our careers: how to regulate negative emotions how to deal with toxic relationships at work how to influence big stakeholders 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
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Dec 23, 2021 • 1h 50min

The ultimate data science interview landscape, three shifts in DS job search, common mistakes in interviews with Andrew Berry The Data Scientist Show #018

Andrew Berry is a data science educator at Lighthouse Labs. He has worked with over 100+ students from various backgrounds trying to transition into data science. He teaches data science, coaches aspiring data scientists, and design courses. We talked about the shift in data science interviews, how to tackle coding interviews, future of job search, how to build your portfolio, interviews tips for big companies vs small companies, behavioral interviews vs technical interviews, how to write cold emails and more. 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 Andrew's Linkedin: https://www.linkedin.com/in/berrya/
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Dec 15, 2021 • 2h 3min

From unemployed to chief data scientist of multiple startups, machine learning prototyping, how to read people, overcoming life struggles with Matt Kirk, the data scientist show #017

Matt Kirk is Daliana's mentor, so it's a very special episode! Matt has been many things in his life: data scientist, software engineer, research analyst (quant), a founder, a c-level executive, and so on.  We talked about Matt’s unique career adventure, machine learning solutions he built for startups, how to read people and influence stakeholders, how to understand yourself, how to be productive and how he overcome his life struggles. 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 You can reach out to him: matt[at]matthewkirk[dot]com
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Dec 9, 2021 • 1h 19min

The unique algorithm for compact and accurate machine learning models, no-code ML use cases and its impact on the future of data scientists with Blair Newman - The Data Scientist Show #016

Blair Newman is the CTO of Neuton AI. Neuton is a zero-code cloud platform that empowers users of any tech level to apply the best machine learning practices for solving real-world challenges faster. We’ll talk about Neuton AI’s patented deep learning algorithm that doesn’t use back propagation, his career journey, no-code ML use cases, and how does no-code ML impact the future of data science. 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 Blair’s Linkedin: https://www.linkedin.com/in/blairnewman/ Neuton AI: https://neuton.ai/
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Dec 2, 2021 • 1h 50min

Build successful end-to-end machine learning systems, ML engineers day-to-day and stakeholder management with Eugene Yan - The Data Scientist Show#015

Eugene Yan is a machine learning engineer at Amazon. He designs, builds, and operates machine learning systems that serve customers at scale. In his free time, he writes and speaks about data science on www.eugeneyan.com with 2,000+ subscribers. We talked about how to build an end-to-end ML project successfully, machine learning best practices, his approach to tackle challenging problems, high-impact projects he worked on, how to communicate effectively with stakeholders, why writing documents is important, and how to get to the next level. 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 Eugene's Twitter: https://twitter.com/eugeneyan?s=20

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