Excited to share that I’ve cleared the Data Scientist interviews at Google for an L3 role and am now in the team-matching stage! 🎉 I’m currently looking to connect with Google teams hiring Data Scientists. Over the past two years, I’ve been working with 13.6B+ online gambling behavioral events across 5M+ users, using large-scale behavioral data to study user patterns, build predictive models, and support responsible-gambling interventions and policy. My work has spanned experimental analysis, statistical modeling, clustering and classification, feature engineering, and large-scale data pipelines using Python, SQL, and PySpark. I’m especially interested in teams working on user behavior, experimentation, large-scale product data, causal/statistical inference, and applied ML. If you’re a Google Data Science hiring manager with L3 headcount, I’d love to connect. And if you know a team that could be a strong fit, I’d really appreciate an introduction. 🙏 Portfolio: https://t.co/D3hfdJqt9X #Google #DataScience #TeamMatching #MachineLearnin5

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