Data Analysis Techniques Using Azure Databricks with Farah Abdou
Description: This technical session explores powerful approaches to large-scale data analysis using Azure Databricks. Attendees will learn how to implement sophisticated analytics workflows that extract meaningful insights from complex datasets, leveraging the distributed processing capabilities of Databricks within the Azure ecosystem.
Speaker / Organizer Bio: I’m Farah Abdou, an AI Engineer and Data Scientist with extensive experience in building intelligent applications, integrating LLMs, and optimizing AI models for real-world applications. My journey in AI spans across multiple domains, including NLP, computer vision, and reinforcement learning.
I’ve worked on projects involving AI-powered pronunciation feedback, RAG-based chatbots, AI-driven tracking systems, and procedural animation generation using Unreal Engine. My expertise extends to cloud-based AI solutions, particularly with GCP and Azure, and I’ve mentored teams in AI competitions, including the Google Solution Challenge.
As a Gold Microsoft Learn Student Ambassador, Certified Google Data Analyst, and a speaker at Microsoft’s Azure Cosmos DB Conference, I’m passionate about sharing knowledge and helping developers leverage AI effectively.
Attendees will gain practical insights from my hands-on experience—whether it’s fine-tuning models, deploying AI applications, or leveraging state-of-the-art frameworks. My goal is to provide actionable strategies to accelerate their AI projects and careers.