Built Sentry Functions, a feature leveraging Google Cloud Functions to streamline Sentry integration into other applications, complete with React-based user interface and web metrics. Reduces prototyping and testing time by upwards of 50%, with customer and internal use cases. Documented thoroughly and requires little upkeep.
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Worked along senior engineers to pinpoint and replicate customer & engineer struggle with technologies such as Docker, ngrok, PostgreSQL, remedied with modifications to initialization files, documentation, and onboarding.
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Composed detailed technical specifications throughout internship, employing JIRA and Github Issues to maintain clear record of progress, proactively communicate struggle, and produce deliverables in a timely manner
Summarized multiple academic papers centering around the usage of data in eSports and the efficacy of different predictive models as well as proper analysis of time series data, to guide future data analysis
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Cleaned and normalized data from 10+ game APIs, then created regression models using scikit-learn and
statsmodels, proving relationships between victories and kills, assists, and distance traveled
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Executed data analysis and visualization on Fortnite game data using matplotlib, yielding unique map and weapon insights, allowing players to make more informed decisions
