How Data Science Actually Works | Challenges & Opportunities in Data Science | PhD to Startup

In this discussion, we talk about into the evolving challenges of data science and engineering. From the complexities of deploying machine learning models into production to the rise of the modern data stack with tools like Snowflake and Databricks, this video explores how companies are transforming their data strategies. Discover key opportunities in the Indian market, where vast datasets and value-conscious consumers create a fertile ground for data-driven optimisation in industries like quick commerce, payment gateways, and entertainment. Learn how data science can enhance business profitability, optimise processes, and tap into the future of technology.

Timestamp:
(0:00) - How it actually works?
(02.32) - What are the opportunities in Data Science?

Here is the full podcast from Dr. Abhishek, founder of RewardWise:
   • Academia vs Industry after Phd (Game ...  

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[Data science, modern data stack, machine learning, data engineering, Dream 11, Snowflake, Databricks, production-ising models, Indian market, quick commerce, payment optimisation, entertainment industry, data-driven business, AI and ML in India, data strategy]

For youtube search:
1. Business Potential: Data Science and the Modern Data Stack
2. How Indian Markets Can Benefit from Data Science in Quick Commerce & Payments?
3. Why Data Science Struggles After Model Building: Solving Real World Challenges?