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SRIVATSAV009/README.md

👋 Hi, I'm Sai Srivatsav Dharini

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🚀 Salesforce Developer | Health Cloud | Apex & LWC | Systems Integration

I build scalable, production-grade solutions on the Salesforce platform — from custom Apex business logic and Lightning Web Components to guided automation with Flow and OmniStudio, and secure integrations with external systems.

🧑‍💻 About Me

  • 🔹 Salesforce Developer with hands-on experience building end-to-end solutions on Health Cloud
  • 🔹 Strong in Apex, Lightning Web Components (LWC), Flow, and OmniStudio
  • 🔹 Experience integrating Salesforce with external systems via REST/SOAP APIs, Named Credentials, and FHIR
  • 🔹 Background in cloud data engineering (AWS, Azure) brings a systems-level perspective to platform architecture
  • 🔹 Focused on secure, well-tested, and maintainable declarative + programmatic solutions
  • 🔹 Interested in healthcare and regulated-industry Salesforce implementations

🛠️ Core Salesforce Stack

☁️ Platform

⚡ Development

🔄 Automation & Low-Code

🔌 Integration

🧰 DevOps & Tooling

🔐 Security & Architecture

☁️ Cloud & Data (background)

📊 GitHub Stats

GitHub Metrics

📫 Connect With Me

LinkedIn

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  1. HealthCloud-Intient HealthCloud-Intient Public

    End-to-end Salesforce Health Cloud solution for patient onboarding, clinical document OCR, care management, and FHIR interoperability — built with Apex, LWC, Flow & OmniStudio.

    Apex 1

  2. Adventure-Works-Sales-Data-Analysis-2019 Adventure-Works-Sales-Data-Analysis-2019 Public

    End-to-end sales data analysis using star schema modeling, SQL data warehouse design, and Power BI dashboards for KPI-driven insights.

    TSQL 1

  3. vehicle_insurance_fraud_detection vehicle_insurance_fraud_detection Public

    Vehicle Insurance Fraud Detection: An ML classification project to flag suspicious claims (staged accidents, phantom passengers, false injury) using historical claims data and feature engineering.

    Jupyter Notebook 1

  4. Ipl-Data-Analytics Ipl-Data-Analytics Public

    Data analysis of iPhone pricing, discounts, and customer ratings on Flipkart. Built with Python & Pandas. Explores pricing strategies across 62 products with actionable insights

    Jupyter Notebook