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

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

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/

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

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/

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

Sundas Khalid is a senior analytics lead at Google. She started her career as a data engineer and transitioned into data science through self-learning. I met Sundas when we worked together at Amazon. She helped women of color negotiate a $1.4M in incremental salaries. She talks about careers in data science, personal finance, and salary negotiation on YouTube and Instagram. 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 Sundas' website: https://sundaskhalid.com/about-me Sundas' YouTube:https://www.youtube.com/c/sundaskhalidInstagram:https://www.instagram.com/sundaskhalidd/?hl=en • We talked about how she transitioned from data engineer to data scientist  • Data engineer vs data scientist pros and cons  • How to grow to a senior data scientist  • How to build a data science tool that has impact for the business • 3 mistakes people make when negotiating salary   • How to build wealth using your salary   (00:00:00) Introduction  (00:01:23) Overview of her career journey  (00:04:52) High-impact projects she worked on  (00:06:59) Tools she uses  (00:07:42) To be successful in DE  (00:09:16) Transitioning into data science  (00:12:06) DE skills that give an edge as a data scientist  (00:13:11) Her expectations of data science  (00:15:49) Data engineering vs data science  (00:17:33) Her day-to-day as a data scientist  (00:19:42) The struggles in her day-to-day work  (00:21:31) Is data science going away?  (00:22:45) Automation tools and reports  (00:25:53) Growing her career as a data scientist  (00:27:53) Communicating better with people   (00:30:06) mistakes she made in her career  (00:34:16) Daliana joining the team Weblab (00:37:16) Tips for negotiating salary  (00:41:57) Tools to use for researching salaries  (00:43:19) Mistakes when negotiating a salary  (00:44:03) Importance of investing early in a career  (00:49:09) Tips about investing and building wealth  (00:51:15) Things that people should know more  (00:52:51) Tips for increasing productivity  (00:54:46) Future of data science and analytics  (00:56:08) How to keep updated on new information  (00:57:52) What is she excited about now

Peter Knudson is a product manager of 10 years who focuses on innovative new experiences that help drive engagement in the ever evolving landscape of mobile and console games. He is also the author of the Amazon best selling book “Product Sense.” We talk about what is product sense, how do data scientist develop product sense, what are product manager’s frustration when working with data scientists, how can data scientists influence product managers better, misconceptions about product management, common mistakes in product management. 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 Peter’s best selling book “Product Sense”: https://www.amazon.com/Product-Sense-Problems-Interviews-Management-ebook/dp/B0998SRN37 Website: ProductSenseBook.com Peter's Linkedin: https://www.linkedin.com/in/thisispeterk/

Zach Wilson is a tech lead at Airbnb building data pipelines, previously he worked at Netflix and Facebook. Zach graduated from college at the age of 20 with degrees of math and computer science. He has over 80k followers on Linkedin.   We talked about mental health, terminal level, promotions, work life balance, building audience on Linkedin, and the future of data engineering.   For data engineering best practices, Zach's career journey, working in FAANG, please go to previous episode "Demystify data engineering". 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  Zach's YouTube: https://www.youtube.com/channel/UCAq9f7jFEA7Mtl3qOZy2h1A (00:00:00) Introduction (00:00:41) Starting his career at 20 (00:06:38) Change of mindset (00:11:35) His ambition (00:15:57) Hobbies he developed (00:19:28) Maintaining work-life balance (00:21:31) His thoughts about the terminal level (00:26:55) Career advice about job burned-out (00:33:11) His daily routine (00:39:34) Good projects to learn (00:46:22) Doing projects using JavaScript (00:47:56) What are the lessons he can share (00:52:26) Growing a large audience (01:00:13) His goal on sharing (01:04:12) Advice for people who wants to grow an audience on LinkedIn (01:09:28) Something he is excited about in the future (01:14:04) Future of data engineering (01:21:01) Connect with Zach

Zach Wilson is a tech lead at Airbnb building data pipelines, previously he worked at Netflix and Facebook. Zach graduated from college at the age of 20 with degrees of math and computer science. He has over 80k followers on Linkedin. We talked about common data engineering mistakes, best practices, softskills, how to say no at work, work experience in Facebook, Netflix, and Airbnb. This is part one of our conversation, and please go to next week’s episode for part two. 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 Zach's Linkedin: https://www.linkedin.com/in/eczachly/ (00:00:00) Introduction (00:00:43) How did he get into DE (00:01:23) Data Infrastructure vs Data Engineer (00:02:44) Day-to-day at Airbnb (00:05:57) How much data science should DEs need to know (00:10:07) Common mistakes of DEs (00:14:53) Good questions to ask stakeholders (00:18:10) Communicating with data scientists and software engineers (00:20:39) Frustrations when working with data scientists (00:24:34) Setting up processes (00:26:22) High-quality pipeline (00:28:42) High-impact data engineering project (00:33:13) Mistakes he made early in his career (00:38:14) Core DE skills that juniors must know (00:40:50) How to go to the next level  (00:44:15) Meeting his mentor (00:46:02) Some advice from mentors (00:48:00) Best advice about influencing without a title (00:49:45) Working at Facebook, Netflix, and Airbnb