839: Double Your Data Salary in 11 Months, with Jess Ramos

Jess Ramos is redefining success in data analytics. As the Founder of Big Data Energy and a Senior Data Analyst at Crunchbase, she’s mastered the art of salary negotiation, built a massive social media following, and turned her passion for data into a thriving personal brand. She reveals how she doubled her salary in under a year, created her own SQL course, and advocates for women in STEM. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (03:42) How Jess got her start in data analytics (09:14) Why SQL is the most critical skill for data professionals (11:46) How Jess more than doubled her salary in less than a year (20:16) Tips for transitioning from a data job to creating your own business (31:20) The various routes to a career in data science (39:13) How Jess challenges STEM stereotypes Additional materials: www.superdatascience.com/839

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.