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Trained on failures. Fine-tuned by grind. Deployed with purpose.
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Trained on failures. Fine-tuned by grind. Deployed with purpose.

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dharm1123/README.md

Hi, I'm Dharm Dudhagara 👋

AI / ML Enthusiast | MSc Data Science | Data Science & ML Intern @ BrainyBeam Info-Tech

📍 Jamnagar, Gujarat, India  |  📧 [email protected]  |  📞 +91 9265173633

LinkedIn Kaggle GitHub


About Me

Passionate AI/ML enthusiast and MSc Data Science graduate with hands-on experience in Machine Learning, Deep Learning, and Generative AI. I build end-to-end ML pipelines, multi-agent LLM systems, and production-ready AI applications. Currently gaining industry experience as a Data Science & ML Intern at BrainyBeam Info-Tech Pvt. Ltd., Ahmedabad.

  • 🎯 Focused on Machine Learning, Deep Learning, Generative AI, and Explainable AI
  • 🎓 CGPA 8.8/10 in MSc Data Science at Marwadi University (NAAC A+)
  • 💡 Motto: "Transforming data into stories and solutions."

🎓 Education

Degree Institution CGPA Year
M.Sc. Data Science Marwadi University (NAAC A+), Rajkot 8.8 / 10 2024 – 2026
B.Sc. Information Technology Marwadi University (NAAC A+), Rajkot 8.4 / 10 2021 – 2024

💼 Work Experience

Data Science & Machine Learning Intern  ·  BrainyBeam Info-Tech Pvt. Ltd., Ahmedabad Jan 2026 – Present

  • Applying Python, data preprocessing and ML techniques to real-world industry problems
  • Working across data analytics workflows, model development and AI solution deployment

🚀 Projects

🌾 Khedut Sahayak — Multi-Agent AI Agricultural Advisory System Jan 2026 · Marwadi University

Architected a 4-agent GenAI system integrating GPT-4, Gemini 1.5 and Llama 3 via LangChain for real-time crop health, pest diagnosis, weather and market advisory. Built a RAG pipeline using Azure OpenAI embeddings with FAISS vector search. Deployed as a multilingual Streamlit app in Hindi and Gujarati.

GPT-4 Gemini 1.5 Llama 3 LangChain LangGraph RAG Azure OpenAI FAISS Streamlit


🐾 Wildlife Species Recognition — Deep Learning & XAI Aug 2025 · Marwadi University

Fine-tuned EfficientNetB2 via staged transfer learning to classify ~90 wildlife species on Google Colab. Integrated Grad-CAM saliency maps for explainability. Exported model to TensorFlow Lite for edge and mobile deployment.

TensorFlow Keras EfficientNetB2 Transfer Learning Grad-CAM TFLite OpenCV


🤖 Resume Ranker — GenAI App 2025

Streamlit app using Azure OpenAI to score and rank up to 10 PDF resumes against a job description — delivering instant, LLM-driven candidate shortlisting.

Python Azure OpenAI Streamlit PDF Parsing


🏙️ Urban City Analysis — Predictive ML System Mar 2025 · Marwadi University

Menu-driven ML pipeline predicting crime occurrence, accident severity and passenger demand from real-world urban datasets. Applied ensemble methods with GridSearchCV tuning and heatmap/boxplot visualisations.

Python Scikit-learn Pandas NumPy Matplotlib Seaborn Random Forest Gradient Boosting


🛠️ Technical Skills

Area Skills
Languages Python, SQL, MySQL
ML / Deep Learning Scikit-learn, TensorFlow, Keras, PyTorch, EfficientNet, Transfer Learning, CNN, ANN, Grad-CAM, Feature Engineering, EDA
Generative AI & LLMs LangChain, LangGraph, RAG, HuggingFace, Azure OpenAI, FAISS, NLP, Prompt Engineering, Multi-Agent Systems
Data & Visualisation Pandas, NumPy, Matplotlib, Seaborn
Frameworks & Tools Streamlit, FastAPI, Git, GitHub, Jupyter, Google Colab, Microsoft Azure, VS Code

📜 Certifications

  • Data Analytics Essentials — Cisco Networking Academy  ·  Feb 2025
  • Introducing Generative AI with AWS — Amazon Web Services  ·  Jul 2025

🤝 Let's Connect

I'm open to collaborating on ML projects, GenAI applications, XAI research and Kaggle competitions. Feel free to reach out!

LinkedIn

Pinned Loading

  1. Resume_Ranker_App_GenAI-App Resume_Ranker_App_GenAI-App Public

    Resume Ranker is a Streamlit app that uses Azure OpenAI to score and rank up to 10 PDF resumes against a job description. Upload your job description and resumes, and instantly see which candidates…

    Python 1

  2. Urban-City-Analysis-ML Urban-City-Analysis-ML Public

    This project focuses on analyzing urban city data using machine learning techniques to extract insights related to traffic, transportation, safety, and housing. The goal is to provide data-driven s…

    Python 1

  3. wildlife-species-recognition-xai wildlife-species-recognition-xai Public

    Jupyter Notebook 1