Camille

Data Analyst | Causal Inference | Time Series Analysis | Reporting Automation

Talent

CalgaryMember since July 19, 2026

Python (pandas, NumPy, scikit-learn, seaborn, Streamlit)SQLRQL (Rippling)Excel (pivot tables, lookups, Power Query)Power BID3.jsRegression analysisInterrupted time series (ITS)Change-point detectionQuasi-experimental and natural experiment designBootstrap inferenceCounterfactual projectionData visualizationReport automationKPI dashboard developmentData cleaning and validationHR / people analyticsSurvey and administrative dataLLM-assisted document processingMulti-agent pipeline developmentAI governance and responsible AI policy (EU AI Act-informed)

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Python (pandas, NumPy, scikit-learn, seaborn, Streamlit)SQLRQL (Rippling)Excel (pivot tables, lookups, Power Query)Power BI

About

Data analyst with experience building executive dashboards, automated reporting pipelines, and causal analyses (interrupted time series, change-point detection, quasi-experimental design) in Python, SQL, and Power BI. At a large social services nonprofit, delivered board-level reporting, led a national accreditation process, authored an organizational AI governance framework, and shipped internal data tools. Published independent policy and quantitative research.

Bilingual: English and Russian.

Experience

Operations Administrator (Data & Reporting) at Closer to Home Community Services (2025-05 – 2025-12)

Built KPI dashboards used by the executive team and Board of Directors for program and operational decisions; delivered recurring board-level reports.
Automated monthly reporting workflows using Python and RQL (Rippling) queries on HR system exports, reducing manual data preparation by approximately 40%.
Conducted voluntary turnover analysis on 70 months of HR data using change-point detection methods; identified the policy change associated with the largest retention improvement in five years (3x any other shift) and delivered a white paper to leadership.
Managed the organization's Imagine Canada accreditation process, coordinating evidence collection and compliance documentation across departments.
Authored an organizational AI governance framework grounded in the EU AI Act, covering acceptable use, risk classification, and review procedures.
Developed and shipped FleetTracker, an internal fleet incident management and reporting tool, automating intake and reporting for the vehicle fleet program.
Implemented LLM-assisted summarization of insurance documentation for the fleet program, reducing document review cycles.

Content Evaluation Specialist (AI Data Evaluation) at Outlier (2024 – 2025)

Evaluated AI-generated analytical and technical responses for factual accuracy and logical validity; maintained a top-tier quality rating throughout tenure.