From Raw Data to Automated Insights with AI Agents

Hosted by Manisha Arora and Siddarth R

Fri, May 23, 2025

5:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

393 students

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AI-ML Projects for Data Professionals
Manisha Arora and Siddarth Ranganathan
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What you'll learn

Build Insight-Driven Agents with GroqCloud & CrewAI

Learn how to create fast, task-specific AI agents using GroqCloud’s ultra-low-latency LLMs and CrewAI’s orchestration

Deploy Seamless Workflows with Streamlit

How to build a user-friendly interface with Streamlit that allows data uploads, custom queries, and insight downloads

Automate and Scale Insight Generation

Explore how agentic automation turns manual analysis into a repeatable process. Learn how AI can scale EDA and reporting

Why this topic matters

Feature engineering is often the most time-consuming part of the ML pipeline, requiring domain expertise and manual iteration. AI-powered automation has the potential to significantly accelerate this process. We will learn how to build AI agents using Grok and LangChain that assist in deriving insights from raw data, deploy in Streamlit to deliver a seamless user experience.

You'll learn from

Manisha Arora

Data Science Lead, Google & Founder, PrepVector

I am a seasoned Data Science professional with 10+ years of experience leading data science teams and driving business growth through data-driven decision making. I am passionate about democratizing data science and enabling others level up in their careers. I found PrepVector to enable aspiring professionals to excel in their data science careers.

Siddarth R

Director of Data Science, Microsoft & Mentor, PrepVector

I am the Director of Data Science at Microsoft. I have 20 years industry experience across Data & Product. In my current role, I am responsible for driving the growth of Azure through AI and measurement. I love to empower others through knowledge sharing and community building. I mentor data professionals to get to the next step in their careers.

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