I’ve always been drawn to analytical problem-solving and finding patterns in complex data. That curiosity, combined with a passion for learning new technologies, led me into the world of data and analytics. Over the years, I’ve built experience across analytics engineering and business intelligence, working on data-driven solutions that support real-world business and product decisions. I primarily work with SQL and Python to build scalable data models, metrics, and dashboards, and have applied machine learning techniques for prediction and optimization across business use cases. Along the way, I’ve learned what works and what doesn’t - when preparing for careers in data and analytics. Through these sessions, I aim to share practical guidance and help students and early professionals gain clarity and actionable next steps in their career journey.