Get ready to dive into the data-driven world of Black Friday sales! This webinar will explore how data science and machine learning models can unlock the patterns behind the biggest shopping day of the year. Join us to learn how top companies predict sales spikes, understand consumer behavior, and develop actionable insights to maximize revenue.
Agenda for the session
- How to clean and analyze large sales datasets
- Predictive modeling methods to forecast sales volume
- UT Austin's Data Science & Business Analytics Program
- Live Q&A
About Speakers
Bhaskarjit Sarmah
Vice President, Black Rock
Bhaskarjit Sarmah is a Vice President at BlackRock and an accomplished data scientist with extensive experience in multiple domains including Retail, Airlines, Media & Entertainment, and Banking, Financial Services, and Insurance (BFSI). At BlackRock, he specializes in developing advanced predictive models for various investment management applications. His expertise spans computer vision, natural language processing, machine learning interpretability, and machine learning uncertainty.
Post-Graduate Program in Data Science & Business Analytics
Data science and business analytics are among the most popular emerging domains and sought-after career options. According to a LinkedIn report, data science dominates its emerging job ranking, with a whopping 37% hiring growth over the past three years. The Post Graduate Program in Data Science and Business Analytics by the McCombs School of Business at the University of Texas at Austin prepares you for a high-growth career in these domains. This 6-month program is a comprehensive deep-dive into the world of data science, starting with the basics of data management and Python, followed by advanced classification, regression, and clustering techniques. Working under the guidance of industry experts and the leading faculty from the McCombs School of Business, you will gain hands-on experience with the most relevant business problems in the industry today.
