Skip to content
View jgohel9902's full-sized avatar

Block or report jgohel9902

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jgohel9902/README.md

👋 Hi, I'm Jenil


🛠 About Me

From Raw Data to Board-Ready Insights — that's the standard I hold every project to.

I'm a Data Analyst specializing in Power BI, SQL, and Python — building end-to-end analytics solutions that go beyond visualization into actual business decision-making.

  • 🌱 Learning: Microsoft Power BI Certification, TypeScript
  • 🤝 Open to collaborate on: Data-driven projects, React.js applications, Dashboard development
  • 💬 Ask me about: Data Analysis, Data Visualization, Frontend Development
  • 🎯 Expertise: Data Analysis, Data Visualization, Frontend Development, API Integration, UI/UX Design
  • 📫 Reach me at: jgohel9902@gmail.com

🔥 Technical Skills

Power BI DAX SQL Python Pandas NumPy Scikit-learn Excel Azure Git

📌 Featured Projects

🔷 TD-Inspired Credit Card Churn Analytics | Power BI

End-to-end churn risk dashboard modeled after real banking analytics workflows. Built with star schema data modeling, DAX measures, Power Query transformations, and a rule-based churn risk engine segmenting customers into Low, Medium, and High risk categories.

Power BI DAX Star Schema Churn Analysis Banking Analytics

🔗 View Repository


🚦 TTC Transit Delay Analytics | Power BI + Geospatial

Analyzed 63,000+ transit incidents and 1M+ delay minutes across Toronto's transit network. Built a 3-layer executive dashboard covering KPI monitoring, route performance intelligence, and 3D Azure Maps geospatial hotspot analysis.

Power BI DAX Geospatial Analytics Azure Maps Executive Dashboard

🔗 View Repository


🤖 AI Code Reviewer | VS Code Extension + Local LLMs

Full VS Code extension that brings real-time AI-powered code analysis directly into the developer workflow. Built a multi-model architecture supporting Codestral, Mistral, DeepSeek, Ollama, and OpenAI-compatible APIs — with full offline capability using LM Studio. Features include full-file review, selection-based analysis, AI refactoring, code explanation, and a built-in issues dashboard panel.

TypeScript VS Code API LLM Integration Node.js Prompt Engineering

🔗 View Repository


📊 What I Build

analytics_workflow = {
    "data_architecture" : ["SQL Server", "Star Schema", "ETL Pipelines"],
    "analysis"          : ["Python", "Pandas", "NumPy", "Scikit-learn"],
    "visualization"     : ["Power BI", "DAX", "Executive Dashboards"],
    "domains"           : ["Churn Analysis", "Healthcare", "Transportation",
                           "Banking", "Geospatial Analytics"]
}

📈 GitHub Stats

Jenil Gohel's GitHub Stats

👁️ Profile Views

Profile Views

🎓 Education

Advanced Diploma in Computer Programming and Analysis - Conestoga College (2026)


🏆 Certifications

  • Google

  • IBM

  • IBM

📫Let's Connect

LinkedIn
Email
GitHub

Pinned Loading

  1. Comprehensive-Healthcare-Analytics Comprehensive-Healthcare-Analytics Public

    An end-to-end healthcare analytics project integrating SQL, Python, and Power BI to analyze patient data, billing information, and doctor performance. This project showcases skills in data cleaning…

    Python 1

  2. PowerBI-MultipageDashboard PowerBI-MultipageDashboard Public

    This Power BI project is a multi-page dashboard designed to analyze sales, inventory, customer insights, and supplier performance. It showcases advanced Power BI features such as DAX calculations, …

    1

  3. Property-Analytics-U.S.-Owned-and-Leased-Properties Property-Analytics-U.S.-Owned-and-Leased-Properties Public

    This project focuses on analyzing the U.S. Inventory of Owned and Leased Properties using datasets from Data.gov. It includes SQL queries for data cleaning and trend analysis, Excel for manipulatio…

    Jupyter Notebook