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shubhamrajiwade29/README.md

Hi, I'm Shubham Rajiwade πŸ‘‹

πŸ’Ό Analytics Engineer & Salesforce Developer πŸ₯ Recent Data Analyst Co-op @ Mass General Brigham (HomeBase) πŸŽ“ MS Engineering Management @ Northeastern University πŸ“ Boston, MA | Open to Full-Time 2027 🌐 Portfolio


πŸ’« About Me

4+ years delivering enterprise CRM and analytics-engineering solutions at Deloitte and TCS across financial services and healthcare β€” most recently a Data Analyst co-op at Mass General Brigham. Now completing my MS at Northeastern while going deeper on dbt/Snowflake analytics engineering, the Salesforce platform, and AI-driven analytics.

  • πŸ”¨ Currently working on: Data engineering pipelines with dbt + Snowflake + AWS, and a GenAI analytics platform benchmarking 188 LLMs across cost, performance, and enterprise adoption
  • 🀝 Looking to collaborate on: Healthcare data analytics, Salesforce + data integration projects, and AI-powered analytics tools
  • 🌱 Currently learning: AWS cloud architecture, advanced dbt features, and Salesforce Agentforce
  • πŸ’¬ Ask me about: Salesforce Health Cloud, ETL/ELT pipelines, SQL optimization, Tableau, healthcare analytics, and enterprise CRM
  • ⚑ Fun fact: 5Γ— Salesforce Certified with 7 Superbadges β€” built a Health Cloud patient data tool at Mass General Brigham, a top-5 US hospital system

πŸ›  Tech Stack

Languages & Analytics Python SQL R PySpark pandas NumPy scikit-learn

CRM & Cloud Salesforce AWS Azure Databricks Snowflake

Data Engineering dbt Azure Data Factory MySQL PostgreSQL

BI & Visualization Tableau Power BI matplotlib seaborn


πŸš€ Featured Projects

🧱 ecommerce-dbt-snowflake End-to-end analytics-engineering pipeline on the Olist e-commerce dataset, built natively on Snowflake with dbt (staging β†’ intermediate β†’ marts), incremental fact tables, and a live Tableau dashboard.

πŸ€– llm-performance-adoption-analytics LLM performance, cost & enterprise GenAI adoption analytics β€” 188 benchmarked models and a 100K-company adoption dataset, 3 Tableau dashboards, with an honest null-finding on productivity impact rather than a forced story.

πŸ”¬ healthcare-claims-denial-analysis End-to-end analysis of 1.26M Medicare providers β€” $318B in denied claims identified, denial rate patterns by specialty and geography, Logistic Regression classifier (66% accuracy) predicting High/Medium/Low denial risk.

πŸ₯ hospital-readmission-risk 30-day readmission risk analysis using real MIMIC-IV clinical EHR data β€” MySQL schema, Python EDA, risk scoring model, live Tableau dashboard.

πŸ“Š patient-data-dashboard Multi-dashboard Tableau project analyzing patient demographics, clinical activity, and data quality across 10,000 synthetic patients.

☁️ ecommerce-azure-analytics End-to-end Azure data pipeline β€” ADF β†’ Blob Storage β†’ Databricks (PySpark) β†’ Power BI with scheduled refresh.

πŸ“ suffolk-county-zip-analysis Geospatial analysis of ZIP code desirability across Suffolk County, MA β€” composite scoring model visualized in interactive Tableau dashboards.


πŸ“Š GitHub Stats


🌐 Connect

Portfolio LinkedIn Email Tableau

Profile Views

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  1. hospital-readmission-risk hospital-readmission-risk Public

    Hospital readmission risk analysis using MIMIC-IV real clinical data, MySQL, Python, and Tableau

    Python 1

  2. healthcare-claims-denial-analysis healthcare-claims-denial-analysis Public

    Jupyter Notebook