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/

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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