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GaneshM35/README.md

Hi there, I'm Ganesh M 👋

I am a seasoned ML Engineer and Consultant with over 8 years of experience in the tech industry. Currently, I am a Consultant at Deloitte, where I bridge the gap between RPA foundations and advanced Machine Learning/MLOps to drive automation at scale.

  • 🔭 Current Focus: Designing and deploying cloud-native ML workflows using Azure and Databricks.
  • ⚡ Expertise: Bridging RPA (UiPath) with production-grade ML solutions and IoT data processing.
  • 🎓 Education: MS in CS (AI & ML) from Woolf & BE in CS from KGiSL Institute of Technology.
  • ⚖️ Interests: Exploring the intersection of Business Law (MBL from NLSIU) and AI Ethics.

🧠 What I Work On

  • 🤖 Generative AI & LLM Applications

    • Agentic AI systems
    • HCP intelligence assistants
    • Prompt engineering & LLM orchestration

  • 📊 Data Science & Machine Learning

    • Predictive modeling (patient switching & targeting)
    • Feature engineering from large-scale claims data
    • Model explainability & business insights

  • 🏥 Healthcare & Pharma Analytics

    • Patient journey analysis
    • HCP targeting & alert systems
    • Real-world data (claims, transactions)

  • 🛠 Backend & AI Engineering

    • Python-based ML pipelines
    • API-driven AI applications
    • End-to-end AI product development

🛠️ Tech Stack & Tools

  • Languages: Python SQL
  • ML & MLOps: Azure Databricks MLFlow KServe
  • DevOps: Docker Kubernetes CI/CD
  • Frameworks: Flask OpenCV
  • RPA: UiPath

🎓 Certifications & Professional Badges

Certification Issuer Verification
Azure Data Scientist Associate (DP-100) Microsoft View License
Databricks Certified Associate Developer Databricks View License
Advanced RPA Developer (UiARD) UiPath View License
Terraform Associate HashiCorp View License
Master of Business Law (MBL) NLSIU Academic Credential

🏅 LinkedIn Verified Skills

Machine Learning Python Data Science SQL

📈 GitHub Stats

Ganesh's GitHub stats Top Langs

📂 Featured Projects

  • VZone-Chat: A communication tool developed to facilitate seamless interactions.
  • PCB Defect Detection: Leveraged computer vision and Azure services for industrial quality control.
  • Fatigue Monitoring: IoT-based solution using ML to monitor human fatigue levels.

📌 Current Interests

  • 🤖 Agentic AI for enterprise use cases
  • 🧬 AI in healthcare & pharma innovation
  • 📈 Freelancing & product-based AI solutions
  • 🧘 Continuous self-development (tech + mindset)

📫 Connect with me:

LinkedIn GitHub

“Turning complex requirements into scalable, auditable solutions.”

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  1. WalmartBlackFridayPurchaseAnalysis WalmartBlackFridayPurchaseAnalysis Public

    This project aims to analyze customer purchase behavior, specifically focusing on the purchase amount in relation to gender and various other factors, for Walmart Inc. during Black Friday sales. Th…

    Jupyter Notebook

  2. AdEase-Time-Series-Analysis AdEase-Time-Series-Analysis Public

    This repository contains a business case study focused on time series forecasting using ARIMA, SARIMA, and SARIMAX models. The objective is to analyze and forecast business data to support decision…

    HTML

  3. Driver-Attrition-Prediction Driver-Attrition-Prediction Public

    Predicting Churn among drivers

    HTML

  4. FlipItNews-NLP-Categorizer FlipItNews-NLP-Categorizer Public

    News article classification using NLP and machine learning models (MultinomialNB, Random Forest, KNN, Decision Tree) with TF-IDF and Bag-of-Words features.

    HTML

  5. Jamboree-Admission-Predictor Jamboree-Admission-Predictor Public

    Jupyter Notebook

  6. Zee-Recommendation-System Zee-Recommendation-System Public

    HTML