Exploring the Concentration of Banking Through DE & AI with Juan Torres

Join us for a deep dive into the intersection of finance, data engineering, and AI! In this session, Juan Torres will present two open-source web apps that explore the Concentration of Banking and the rise of AI in banking assets. These apps provide rich visualizations and insights into how financial power is distributed among U.S. banks—and how AI is helping to make sense of it all.

But we’re not stopping at the surface.
This talk will focus on the data engineering work behind the scenes:

• How raw, semi-structured data from the Federal Reserve is transformed into structured, tabular data
• The ETL pipeline (shown in a Jupyter Notebook) that powers both apps
• How AI agentic systems are leveraged to automate insights

Whether you're a data engineer, data scientist, economist, or just curious about how data becomes insight, this is a great chance to learn from open-source code and real-world applications.

Agenda:

• What is the Concentration of Banking?
• Walkthrough of the Concentration of Banking App
• Demo of the AI Banking Assets App
• Behind-the-scenes look at the ETL pipeline
• Open Q&A

Bring your questions, ideas, and curiosity—this will be an interactive and insightful evening!

Speaker
Juan Torres

I have more than 5 years of experience as a strategic research analyst delivering impactful and applicable insights for stakeholders to develop viable strategies 📊 📈 📉. These are the three pillars of my research success:

⦿ Leadership and collaborative research projects: 🤝
My approach to leadership is inclusive and supportive, encouraging each team member to bring their unique perspectives and skills to the table. It's deeply rooted in fostering collaboration and a collective work ethic. I actively work to ensure that every voice is heard and respected, creating a sense of belonging and mutual respect within the team.

⦿ Comprehensive and methodological research work: 🔎
Understanding and experiencing the dynamism of organizing and contract campaigns for several years, I have forged a work-research methodology that gives me the regimentation necessary to create impactful insights within the time frame of deadlines. This is while having the flexibility to mitigate the research demands of several campaigns. My research weekly work plans are the anchor that guide the multi-faceted nature of my research work.

⦿ A scientific and materialist approach: 🔬
I rigorously adhere to a scientific and materialist approach, ensuring that every analysis and insight is grounded in empirical evidence and thorough research. This methodology is not just about data collection and analysis; it's about cultivating a deep understanding of the underlying material conditions that drive trends and patterns to deliver impactful insights that allows stakeholders to create viable strategies. I set high standards for myself and my work, striving for meticulousness and accuracy in every project.