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Data Scientist & Analytics Engineer

Experience

MS in Data Science, University of Rochester. Work across data science, BI and data warehousing — from predicting student outcomes and auditing healthcare risk to building reporting systems that make messy institutional data easier to trust.

  1. May 2026 – Present

    University of Rochester IT

    Data Warehouse Analyst I

    Business Intelligence & Data Warehousing - Enterprise Reporting Enablement

    • Developing an AI-assisted report catalog and retrieval knowledge base across Oracle, Denodo, Cognos, Tableau, and Workday assets.
    • Translating stakeholder reporting needs into KPI definitions, source-to-report logic, SQL validation checks, and technical documentation.
    • Building data quality and reconciliation workflows to improve reporting accuracy, completeness, and business-user access to warehouse knowledge.
    SQLOracleDenodoCognosTableauWorkdayData QualityMetadata
  2. Feb – May 2026

    Operation Food Search

    Data Visualization Analyst

    Data Strategy & Analytics - Quality Improvement Reporting

    • Designed a centralized quarterly reporting system across eight program areas by standardizing KPI definitions, reporting logic, metadata, and validation workflows.
    • Converted fragmented Excel and PDF submissions into structured reporting datasets with reconciliation controls for executive deliverables.
    • Used Airtable and structured reporting workflows to support quarterly and annual dashboard/reporting needs across program areas.
    AirtableKPI DefinitionsData ValidationReporting SystemsDashboard
  3. Jun – Dec 2025

    University of Rochester IT

    Data Science Intern

    BI & Data Warehousing - Student Success Analytics

    • Built an XGBoost model using early-term engagement signals to identify at-risk learners before mid-semester.
    • Engineered Python, SQL, and Airflow ETL pipelines integrating 100K+ Workday, UKG, Blackboard, and Oracle records across 7 departments into live Tableau and IBM Cognos dashboards used by academic teams.
    • Applied NLP clustering to HR support tickets to identify patterns in routing inefficiencies.
    PythonXGBoostTableauIBM CognosAirflowDenodoNLPOracle SQL
  4. Sep – Dec 2025

    Butler / Till

    Data Science Capstone Consultant

    Marketing Analytics - Hierarchical Bayesian Media Mix Models

    • Built the client's first geo-aware attribution framework, a hierarchical Bayesian MMM estimating channel ROI across 188 DMAs.
    • Engineered adstock and Hill saturation features and delivered Tableau dashboards the team could explore directly.
    Bayesian MMMPyMCLightweightMMMTableauPython
  5. Jun – Oct 2025

    UR Health Lab

    Research Assistant

    Clinical Data Science - Carotid Artery Ultrasound Research

    • Integrated and validated 14K+ EHR, Doppler, imaging, and clinical-note records into multimodal carotid-stenosis progression models (AUROC ~0.88), using SHAP to surface key clinical predictors.
    • Created reproducible experimentation pipelines using MLflow and Docker.
    PyTorchTensorFlowRAGMLflowDocker
  6. Aug 2022 – Jul 2024

    EY Global Delivery Services

    Software Engineer

    Enterprise AI & Automation - Internal Tooling & QA

    • Built internal NLP tools as proof-of-concept, including a resume matcher, email optimizer, and text generator.
    • Built Selenium, Cypress, and Jenkins QA automation from scratch for insurance and e-commerce platforms, raising testing and processing throughput by 70%.
    NLPBERTT5SeleniumCypressJenkins