Angel Bravo Reflection

Valuable Lessons

Participating in the New York Federal Reserve Challenge taught me several meaningful lessons about macroeconomics, policy analysis, and collaborative problem solving under pressure. One of the most important things I learned was how dynamic and interconnected monetary policy truly is. In class, interest rates and inflation often feel like isolated concepts, but during the challenge, I realized how quickly economic data can shift and how policymakers must constantly reassess their position. Working with real-time indicators such as labor market trends, inflation expectations, and GDP forecasts forced me to think about the economy as a living system where each datapoint carries significance.

A second major learning takeaway was the importance of synthesizing economic research into a clear, defensible narrative. It is one thing to understand a concept like the Taylor Rule or the natural rate of unemployment; it is another thing to communicate whether the Federal Reserve should tighten, loosen, or maintain policy based on that theory. Our team had to analyze large sets of data, cross-check sources, and debate interpretations in order to build a cohesive presentation. This process taught me how to interpret data with both precision and contextual awareness, a skill that will be invaluable in future research and workplace settings.

Finally, I learned what it means to work effectively in a team under a high-stakes, time-sensitive environment. Everyone had different strengths—some were strong at data visualization, others were great at public speaking or theoretical framing. The challenge taught me how to coordinate responsibilities efficiently, offer constructive feedback, and trust teammates to deliver their parts. I also learned to adapt my work style based on group needs. For example, I would take initiative when clarity was missing but step back when someone else had stronger expertise in a specific area. Overall, this course significantly expanded my economic understanding in addition to my ability to think critically, work collaboratively, and communicate complex ideas with confidence.

Career Competency Skills

Furthermore, this course strengthened several of the UConn Career Competencies, particularly Teamwork, Communication, and Critical Thinking. Through the structure of the New York Federal Reserve Challenge, each competency became essential to our effectiveness as a team.

Teamwork was central to the entire experience. Our group had to divide responsibilities such as research, data analysis, writing, and presenting all the while maintaining a unified approach. I learned how to build and sustain collaborative relationships by actively listening to other members’ ideas, ensuring everyone’s voice was heard, and balancing differing viewpoints when disagreements arose about what policy stance to recommend. This competency grew especially during the times we had to revise our slides or re-interpret data. We had to work as a collective unit, respecting each person’s expertise while also sharing responsibility for the final output. I learned the value of flexibility, compromise, and clear expectations which are skills transferable to professional settings involving group projects and cross functional teams.

Communication was another major competency I developed. The challenge required both written and verbal communication skills to present a clear and coherent policy recommendation. I improved my ability to translate complex macroeconomic trends into accessible language that made sense to a broader audience. Preparing for the presentation helped me practice pacing, clarity, and professional tone. Within the team, communication mattered just as much; giving updates, asking questions, and explaining findings ensured that everyone stayed aligned. This competency is especially valuable because so many economic roles such as research, analytics, and finance require strong communication skills to convey insights effectively.

The third competency strengthened was Critical Thinking. The course required me to interpret large sets of economic data, distinguish between short-term noise and long-term trends, and identify which variables were most relevant to the Fed’s current objectives. Instead of passively reading charts, I learned to ask: What does this mean? and How does this impact monetary policy? Critical thinking also played a role in evaluating differing viewpoints within the team and constructing arguments logically. This competency will directly help me in future research courses, internship roles, and positions requiring data-driven decision-making.

Areas for Improvement

If I were to take this course and participate in the Federal Reserve Challenge again, there are several things I would approach differently to improve my learning experience, strengthen my team contribution, and elevate the overall quality of our presentation.

First, I would start the data-gathering and research process earlier. While we completed our tasks on time, beginning earlier would have allowed us to dig deeper into alternative indicators such as regional economic trends, sector-specific inflation pressures, and more nuanced labor market metrics. I learned that the strongest presentations often include not just standard Fed data but also unique, well-supported insights that demonstrate a thorough understanding of economic insights. Starting earlier would have given us the opportunity to explore multiple policy scenarios and choose the strongest narrative.

Second, I would contribute more leadership in organization and workflow management. Our team collaborated well, but at times we lacked a clear timeline or structure for editing and integrating each person’s work. If I could redo the course, I would help create a structured project plan with checkpoints, deadlines, and task ownership. This would ensure smoother coordination and reduce last-minute stress. I also would have advocated for more practice rounds of the presentation earlier in the week, which would have increased our confidence and allowed for more polished transitions and delivery.

Third, I would focus more on enhancing the visual and analytical clarity of the presentation. High-quality economic presentations depend heavily on clean visuals that support the narrative rather than overwhelm it. If I took the course again, I would take more ownership of refining charts by making them clearer and ensuring every visual had a distinct purpose. This would elevate the overall professionalism of the presentation.

Finally, I would push myself to take more initiative in contributing unique research findings and deeper theoretical insights. While I contributed meaningfully, I know that next time I could push further by connecting academic theories more explicitly to real-world data, making our argument even stronger.

Conclusion

Overall, this course and the New York Federal Reserve Challenge were extremely valuable experiences that pushed me to think more critically about the economy, collaborate more effectively within a team, and communicate complex ideas with clarity and confidence. The skills I developed, both technical and professional in nature, will stay with me long after this class, and reflecting on the process has shown me how much growth occurred week by week. If anything, this experience has motivated me to continue improving my analytical abilities, deepen my understanding of macroeconomic policy, and take on future opportunities that challenge me in similar ways. It strengthened not only my academic foundation but also my confidence in pursuing future roles in economic research, finance, or data-driven decision-making.