Daliana's Game

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/

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

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/

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