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\textit{Senior Data Scientist, Gameplay} \hfill\textbf{January, 2024 - Present}\newline
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As part of the game science team, I work to make Call of Duty better through data. Currently, I am:
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As part of the game science team, I work to make Call of Duty better through data. In this role, I:
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\begin{list2}
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\item Working with senior design leadership to understand how players interact with Call of Duty gameplay systems. This includes maps, modes, movement, weapons, and in-game communication among others.
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\item Leading initiatives to understand how game design affect topline KPIs, and suggest changes when appropriate.
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\item Supporting infrastructure improvements to better track or diagnose gameplay related issues.
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\item Partner with senior design leadership and cross-functional teams, including engineering and product management, to define key metrics, identify opportunities for game and business improvements, and drive data-informed decision making across the game.
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\item Lead initiatives to understand how gameplay systems (maps, modes, weapons, in-game communication) influence top-line KPIs and suggest design improvements based on data insights.
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\item Design, implement, and monitor experiments, A/B tests, and other methodologies to drive improvements in gameplay features and player engagement.
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\item Drive data quality and ensure instrumentation across the game to capture accurate and actionable data; collaborate closely with engineering teams to improve data pipelines and ensure seamless data flow.
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\item Lead the development and implementation of data models, production metrics, and visualizations to provide insights into player behavior, gameplay patterns, and overall game performance.
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\item Manage and mentor junior data scientists, offering guidance in experimental design, statistical analysis, and effective data visualization.
\item Designed, built, maintained, and improved ML infrastructure. This includes tool developement like autoML, CI/CD (Jenkins, github actions), model tracking and management (MLflow) and orchestration (Airflow).
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\item Crafted and implimented policy around external data ingestion and data product retention for both my internal team and for sharing across the organization.
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\item Designed, built, and maintained near-realtime applications (via Spark streaming) to combat in-game cheating and other malicious behavior. Typical time-to-action in the low 10s of seconds.
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\item Lead the transition of ML infrastructure from AWS to GCP/GCS.
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\item Created ML models to provide insights into customer conversion, churn, and behavioral segmentation. This leveraged survival analysis, clustering, as well as tree-based and linear methods.
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\item Supervised junior team members to design and developed recommendation systems productionalized in both Modern Warfare 2 (2022) and Modern Warfare 3 (2023).
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\item Designed, built, and maintained ML infrastructure and tools, including autoML, CI/CD (Jenkins, GitHub Actions), model tracking (MLflow), and orchestration (Airflow) to support data-driven decision-making.
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\item Crafted and implemented policy for external data ingestion and retention to ensure accessibility and proper data stewardship across the organization.
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\item Developed near-realtime applications (via Spark streaming) to identify and mitigate in-game cheating and malicious behaviors, achieving action times in the low 10s of seconds.
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\item Spearheaded the transition of ML infrastructure from AWS to GCP/GCS, optimizing scalability and performance.
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\item Created machine learning models focused on customer conversion, churn prediction, and behavioral segmentation using survival analysis, clustering, and tree-based techniques.
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\item Managed the day to day of a small team of junior data scientists to design, develop, and deploy recommendation systems that were integrated into Modern Warfare 2 (2022) and Modern Warfare 3 (2023).
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\end{list2}
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\textbf{Insight Data Science} \hfill New York, New York\newline
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