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    Victor Tsai

    Data Scientist & ML Engineer · Open to Full-Time Opportunities

    LinkedIn · Kaggle · victor.tsai.info@gmail.com


    4+ years in software engineering — now building at the intersection of data science and ML. I specialize in data pipelines, statistical modeling, and applied ML, with a backend foundation that lets me ship end-to-end. Strong at translating ambiguous business problems into measurable outcomes.

    Targeting: Data Scientist · ML Engineer · Analytics Engineer


    Selected Projects

    AI Agent – Open Data Knowledge Base(2026 – present)
    RAG + SQL hybrid agent that auto-generates API requests and wrangles open datasets for research — targeting 50% reduction in dataset discovery time.

    Anomaly Detection for Wearable Devices(2025)
    Unsupervised anomaly detection on 3,000-user time-series logs with no ground truth. K-out-of-3 model agreement via linear mixed model ensembling.

    ASU Displaced Voice — Eviction Analysis(2025)
    K-means + linear mixed-effects model on Maricopa County census data to identify statistically significant drivers of eviction case increases.


    Stack

    ML / Data:Pythonpandasscikit-learnPyTorchRSQLPySparkTableau
    Backend / Infra:PostgreSQLMongoDBDockerGitREST APIs


    Top Languages

    Pinned Loading

    1. BST593-AnomalyBST593-AnomalyPublic

      BST593 Applied Project: Implementation of statistical and machine learning models to identify unusual patterns (anomalies) within a real-world activity log dataset from wearable devices.

      Jupyter Notebook

    2. census-api-agentcensus-api-agentPublic

      Census Dataset AI Agent

      Python

    3. DisplacedVoiceDisplacedVoicePublic

      ASU - Displaced Voice project (clustering analysis and regression analysis)

      Jupyter Notebook