Aleksandra Deis is a data scientist with eight years of experience transforming business problems into data-driven solutions across tech and finance, currently at Meta after roles at Google, X, and several AI startups. Trained as a computational mathematician at MSU, she blends rigorous quantitative skills with hands-on data engineering and product-focused analysis developed early in consulting and banking projects. Her background spans end-to-end work—from accounting data stewardship and sales funnel optimization to building ML-driven features in moonshot and applied AI environments. Comfortable moving between stakeholder-facing business cases and code-level implementations, she repeatedly turns ambiguous requirements into deployable analytics. Based in Sunnyvale, she brings a practical curiosity rooted in Monte Carlo research experience and a track record of accelerating decision-making in both enterprise and startup settings.
Contributions:39 commits, 36 pushes, 1 branch in 1 year 3 months
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