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  • UBC
  • Vancouver, BC
  • 17:47 (UTC -07:00)

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ChetanSarda99/README.md

Hi 👋 — I'm Chetan

Currently: Business Analyst, Cancer System Intelligence at BC Cancer (PHSA) — owning the delivery plan for 20+ provincial cancer-surveillance indicators across 27 cancer groups and 6 health authorities. Power BI, Azure SQL, R, T‑SQL, dbt, Microsoft Fabric.

Previously: Senior Analyst, Clinical Analytics Network at PHSA — promoted from Co‑op Data Analyst. 400+ clinicians on embedded Power BI scorecards across 40+ BC Children's clinics.

Earlier: Tolaram Group (Lagos) — 11 low‑code SaaS analytics products across 6 factories, internal-consulting digital transformation.

Education: MBAN @ UBC Sauder · B.Tech Mechanical @ Delhi Technological University · Lean Six Sigma Black Belt.

Reach me: LinkedIn · Notion portfolio


github contribution graph snake animation

↑ Snake regenerates daily — auto-eats my contribution graph via Platane/snk.

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  1. dbt-retail-analytics dbt-retail-analytics Public

    Self-contained dbt + DuckDB project that models a synthetic retail dataset into staging/marts with 24 tests; runs locally with dbt seed && dbt build.

  2. fabric-analytics-pipeline fabric-analytics-pipeline Public

    Microsoft Fabric concepts demonstrated locally: Bronze/Silver/Gold medallion pipeline on Delta Lake with SCD2, built in Jupyter + Polars + deltalake-python. Honest local equivalent, not actual Fabric.

    Jupyter Notebook

  3. LLM_Study_Permit_Canada_Chatbot LLM_Study_Permit_Canada_Chatbot Public

    A Streamlit RAG chatbot that answers Canadian study-permit questions using FAISS over scraped IRCC docs and Mixtral-8x7B-Instruct via LangChain.

    Jupyter Notebook

  4. Machine_Learning_Project-HeartDiseasePrediction Machine_Learning_Project-HeartDiseasePrediction Public

    Predicting heart attack risk from CDC health-indicator data using a Random Forest with RFECV feature selection, SMOTE balancing, and Fairlearn audits.

    HTML

  5. marketing_clustering_analysis marketing_clustering_analysis Public

    K-means clustering on the UCI Wholesale Customers dataset to segment buyers into three actionable marketing personas based on annual product-category spend.

    Jupyter Notebook

  6. nlp_10K_Reports nlp_10K_Reports Public

    Quantitative + NLP analysis of ~6,000 US public firms' 2020 10-K Item 1 filings, combining financial trend analysis with TF-IDF keyword extraction and a trained Word2Vec model.

    Jupyter Notebook