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BoiniGanesh/README.md

Hi, I’m Ganesh Kumar 👋

🎓 MS in Data Science @ The George Washington University (GPA: 3.93)
💼 Former Technology Analyst at Infosys
📍 Washington, DC

I’m a data science graduate student with professional experience in data engineering, cloud analytics, and machine learning. I enjoy building data-driven systems, optimizing pipelines, and extracting insights from complex datasets.

🔧 Tech Stack

Languages: Python, SQL, R, C++, MATLAB, C#
Data & ML: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly
Cloud & Data Tools: Azure Data Factory, Databricks, Azure Synapse, Power BI
Databases: SQL Server, MySQL, MongoDB, Neo4j

💼 Experience Highlights

  • Research Assistant (GWU)
    Built an AI-driven healthcare analytics system using biomedical knowledge graphs with 10M+ relationships.

  • Technology Analyst – Infosys
    Developed ETL pipelines, CI/CD workflows, and cloud-based analytics systems.

  • Senior Systems Engineer – Infosys
    Optimized SQL workflows, reducing processing time from 3 hours to 3 minutes.

📚 Current Focus

  • Machine Learning
  • Data Engineering
  • AI in healthcare and analytics

🎯 Career Goals

Seeking Data,AI,ML roles roles where I can apply machine learning and data analytics and engineering to real world problems.

📫 Connect with Me

Pinned Loading

  1. Graph-Neural-networks-Reasoning-Advantages-Shortcomings-and-Potential Graph-Neural-networks-Reasoning-Advantages-Shortcomings-and-Potential Public

    Python

  2. imchandanmohan/smart-resume-builder imchandanmohan/smart-resume-builder Public

    AI-powered resume builder that auto-fills resume content based on job descriptions, optimizes it for ATS systems, and allows interactive voice-based edits. Generates PDF and sends via email. Built …

    Python 1 1

  3. 75Dineshchandra/Health-Aware-School-Meal-Recommendations-with-Contextual-Bandits 75Dineshchandra/Health-Aware-School-Meal-Recommendations-with-Contextual-Bandits Public

    Python 1

  4. DATS_6101_11_Team3 DATS_6101_11_Team3 Public

    This project aims to analyze a dataset of sales transactions from a UK-based e-commerce store specializing in gifts and homewares over one year. With 500,000 rows and 8 columns, including transacti…

    HTML 1 1