Daliana's Game

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

Kate Strachnyi is the founder of DATAcated – delivering training on data visualization, data storytelling, and dashboard best practices. She has over 150k followers on Linkedin. We talked about how she got into data analytics without a background in math, what makes a good dashboard, how to work with executives, how to tell stories with data, what she’s looking for when hiring a data analyst, and the psychology of color! 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 DATAcated: https://datacated.com/

Nick Singh is a career coach and the co-author of "ace the data science interview". He has over 60k followers on Linkedin, and previously worked at Facebook and Google. We talked about how to prepare for data science interviews, how to build a portfolio, what makes a candidate stand out, how to write cold emails to recruiters, 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 You can find his book on Amazon: https://www.amazon.com/dp/0578973839?&linkCode=sl1&tag=nicksingh03-20&linkId=4fa541a539320e8936926cb3a5167881&language=en_US&ref_=as_li_ss_tl Nick's Linkedin: https://www.linkedin.com/in/nipun-singh/

Konrad Kording is a neuroscientist and professor at the University of Pennsylvania. Konrad is trying to understand how the world and the brain works using data. He is known for his research in computational neuroscience. 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 Konrad's twitter:https://twitter.com/KordingLab The online community of computational neuroscientists he's working on: http://neuromatch.io/ We talked about: - Is evolution gradient descent? - What makes a data scientist competitive? - His three principles of doing good science - Why do we need casual inference in AI? - Should we optimize our brain's 'loss function' to make us happier? - The secret to a good career - Three rules he follows for doing good science - Is deep learning a bubble? - How did he get to where he's at today

A seasoned open-source developer of 25+ years, Greg Osuri is the CEO and co-Founder of Akash Network, an open-source decentralized cloud that provides a fast, efficient, and low-cost application deployment.    Prior to Akash Network, Greg founded AngelHack, the world’s largest hackathon organization with over 200,000 developers across 164 cities across the globe. At AngelHack, he helped launch several developer companies including Firebase, which was acquired by Google in 2014.   Greg launched his career at IBM and later designed Kaiser Permanente’s first cloud architecture. As an expert in open-source, distributed systems, and blockchain development, and an applied economist, Greg is a featured international speaker and has spoken recently at events including Kong Summit, Block-Con, and Block to the Future.   His work has been featured in top-tier publications including BeInCrypto, CoinDesk, Cointelegraph, Forbes, TechCrunch, and Yahoo! Finance. Greg was instrumental in the passing of California’s first Blockchain law, providing the first expert-witness testimony at the Senate.   About Akash Network: Akash Network, the world's first decentralized and open-source cloud, accelerates deployment, scale, efficiency and price performance for high-growth industries like blockchain and machine learning/AI.  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 Greg's Twitter: https://twitter.com/gregosuri 

Andrew Kondrich is a machine learning engineer at Scale. We talked about his career journey, human first design for AI, how to get into machine learning, and what kind of candidates companies are looking for. 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

Bryan is a data science manager, previously he worked at Facebook and Indeed as senior data scientist. Bryan specialize in ad system design, ad ranking, and A/B testing platforms. 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 We talked about:  - how he got into data science as a history major  - when not to use data science to make decisions  - how data scientists should influence the company's culture  - how data scientists can have a competitive edge in the future  - what is the ad ranking problem  - data science books for game theories  - how to use game theories in real life