LA3-120
Sessions in LA3-120
Human-First Data Careers in the Gen AI World
Your data career, accelerated: A people-first roadmap to break in and keep growing. Clarify your path, build a business-savvy portfolio, sharpen resumes and interviews, activate mentors and networks, and master SQL, Python, visualization, cloud fundamentals, and Gen AI with confidence so you stand out, earn offers, and advance quickly.
Tell me What you Want, What you Really, Really Want: How to Identify the Real Business Question
Believe it or not, data practitioners get hired to answer business questions. But what is a business question? What does it look like in practice? And how can you make sure that you're on the same page as your stakeholders about the end result of collaboration? This talk will present frameworks to help you understand and uncover your stakeholder’s business question so you can deliver an actionable data product.
Training-Free Multi-Agent Language Models
Large Language Models are powerful but often unreliable. This talk introduces Peer Elicitation Games (PEG) — a novel, training-free method that uses game theory to make LLMs more truthful and consistent. By letting models evaluate each other’s responses, PEG encourages honesty without extra training data and significantly improves factual accuracy.
From Intern to Head of Data Analytics: Launching and Leading a Career in Data
A candid journey through 8 years in data — continuous internships, student leadership, navigating H-1B sponsorship, ongoing self-learning, and persistence. Now Head of Data Analytics at Meshy, a global leader in 3D AI, I will share actionable strategies for securing internships, mastering interviews, and overcoming early-career challenges to accelerate your career.
Swerve! A Career-Pivot Story: From Comms to Data
A fun, dynamic, and insightful story about changing careers from the business to the technical side. Attendees will walk away with actionable learnings to support them in their own career growth,