Data Analyst & Analytics ♦︎ SQL, Python & BI (PowerBI / Tableau) ♦︎ 2+yrs in Analytics & Strategy ♦︎ I help product teams make smarter data-driven decisions at scale
🔥 When the thrill of the game meets the weight of responsibility 🎲💡 Australia’s sports betting market is racing toward $50B by 2025. For millions of fans, it’s about excitement, community, and the rush of the win. But behind the scenes, there’s a tougher question: How do we make sure the same algorithms that power odds also protect people? As a Master’s Data Science student, this challenge hits me deeply. I’ve seen how data can build trust, whether it was cutting reporting times by 60% on 14TB+ of financial data at Infosys or using reinforcement learning to improve satisfaction by 18%. To me, machine learning isn’t just about speed. It’s about fairness, safety, and using data to create experiences that are both exciting and ethical. 💡 Career lens: That’s why I’m drawn to Sportsbet’s data science team, because it sits right at the intersection of innovation and responsibility. 👉 To my network (and especially the Sportsbet team): What’s the boldest step you think Sportsbet could take to balance thrill and safety in an AI-first world? #SportsAnalytics #DataScience #ResponsibleAI #MachineLearning #Sportsbet
