Learning and sharing

For over 20 years, I have been fortunate to have worked in several business verticals - spanning startups, a startup going through an acquisition and big enterprises - both private and public, focusing on product, marketing, business and revenue analytics.

While I am thankful to my alma-mater (Birla Institute of Technology and Science, Pilani , University of Southern California , Carnegie Mellon University - Tepper School of Business) for instilling in me an analytical and business mindset, I have always considered myself a lifelong learner. I am thankful for my experiences, my managers, my colleagues and my teammates who I have had the pleasure of leading (including interns)?for making my knowledge that much more rich.

There comes a time when you look back and wonder what and how you can give back.

After developing a few courses for IBM SkillsBuild (through SkillUp Technologies), I have most recently put together a course on Revenue Analytics on 365 Data Science, where I have shared the concepts on how to explore various revenue models, retain and grow a business. It is divided into 3 levels (Intro, Intermediate and Advanced), the first of which has just gone live recently. We analyze business contexts through the lens of revenue and identify the drivers and levers to adjust. It is designed for aspiring business analysts, data analysts, financial analysts, data scientists, with interactive explanations, videos, case studies and self-assessments. I hope you like it and would appreciate if you can repost this, if you can spare some time to do so.

One word about the platform - 365 Data Science is an awesome repository with great content, relevant to professional advancement for an ambitious analysts and data scientists. The platform boasts many interesting courses, professionally presented by highly qualified specialists. Shout out to Nedko Krastev for making this possible, and to Davis Balaba PhD, MBA , for introducing me to this platform.