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covid-19-augmented-prediction
covid-19-augmented-prediction PublicThis project builds a COVID-19 case prediction model using multivariate features, improving accuracy over a strong autoregressive baseline and analyzing how each feature correlates with case trends…
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electricity-consumption-interpretability-to-prediction
electricity-consumption-interpretability-to-prediction PublicThis project examines how weather and seasonal factors shape U.S. electricity consumption using parametric GLMs and nonparametric Random Forest. It then incorporates state and lag features to build…
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ev-policy-casual-impact-psm
ev-policy-casual-impact-psm PublicThis project estimates the causal impact of U.S. state EV supportive policies on Electric Vehicle registration growth using Propensity Score Matching (PSM). By controlling for key confounders, it p…
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early-default-detection
early-default-detection PublicThis project builds an early stage credit default detection model using only application data, intended to serve as a fast prescreening filter before any extra document submission, external bureau …
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video-summarization-for-information-dense-content
video-summarization-for-information-dense-content PublicOverview of a multimodal video summarization pipeline for information-dense content developed during a contract project at webAI (Open Project - UC Berkeley).
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retention-improvement-case-study
retention-improvement-case-study PublicData-driven cohort experiment evaluating how content updates and push notification timing influence early retention and daily active users in an AI powered dating app, supported by hypothesis valid…
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