Anusha
Musunuri
Senior Data Scientist at Snap Inc
"An Improved AI Framework for Automating Exploratory Data Analysis"
"An Improved AI Framework for Automating Exploratory Data Analysis"
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Session: An Improved AI Framework for Automating Exploratory Data Analysis
The rapid growth of Digital Advertising has led to an explosion of data, making manual exploratory data analysis (EDA) increasingly inefficient and unsustainable. This presentation introduces an advanced AI framework designed to automate EDA, streamlining processes such as data cleaning, feature extraction, and pattern identification. By eliminating manual bottlenecks, the framework enables businesses to uncover actionable insights at scale. The proposed framework is scalable, adapts to changing data trends, and delivers high accuracy in its predictions.This talk will explore the technical design and capabilities of the framework, highlighting its applications in key areas such as personalized recommendations, demand forecasting, and inventory optimization. Attendees will gain insights into how automation can transform raw data into business value, driving smarter, faster, and more scalable decision-making in the competitive landscape.
Key Takeaways
- Understand how ML/AI and Data Science powers personalized recommendations via automation in dynamic social platforms.
Bio
I'm a Data Scientist, based in Palo Alto - CA, with a focus on Machine Learning and data-driven solutions. I'm passionate about leveraging technology to solve real-world problems and advancing innovation in the tech industry and passionate about empowering women in STEM and creating an inclusive tech community.