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grace-mariya/README.md

Grace Mariya | Data Science • AI • Analytics

Hi, I'm Grace Mariya 👋

Computer Science Graduate | Data Science • AI • Analytics
Research-driven ML | Practical problem solving

📍 Kochi, India

💻 Tech Stack

🌱 Profile

Detail-oriented Computer Science graduate with hands-on experience in
Data Science, AI, Machine Learning, and Analytics.
Experienced in developing real-world AI solutions through internships, academic projects, and research publications.
Seeking opportunities in Data Analytics, AI, and Technology Consulting roles.

🚀 Selected Projects

🔹 Skin Disease Identification Using CNN
• Multi-class classification of 7 skin diseases using dermoscopic images (HAM10000)
• Accuracy: 95.18%

🔹 DataGenie – Automated Data Analyst Agent (Ongoing)
• Agentic AI system to automate data analysis and generate actionable insights

🔹 Student Performance Analysis & Prediction
• ML-based analysis and prediction of student performance trends
• Feature engineering and visualization for insights

📄 Publication

Skin Disease Identification Using CNN – IEEE ICTEST 2025

📊 GitHub Overview

Grace Mariya GitHub Stats

📫 Connect with Me

• 💼 LinkedIn: https://www.linkedin.com/in/grace-mariya-02977a2a4
• ✉️ Email: gracetech29@gmail.com

"Clarity, consistency, and curiosity build meaningful technology."

Pinned Loading

  1. Data-Ai-Journey Data-Ai-Journey Public

    Tracking my AI learning journey! 🚀 Projects include NumPy (arrays, linear algebra) and Pandas (data cleaning & visualization). Hands-on notebooks showcase practical skills in data analysis, prepari…

    Jupyter Notebook 1

  2. Portfolio-Grace-Mariya Portfolio-Grace-Mariya Public

    JavaScript

  3. PredictIQ PredictIQ Public

    Python

  4. Skin-Disease-Identification-Using-CNN Skin-Disease-Identification-Using-CNN Public

    Jupyter Notebook

  5. Hybrid-RAG-Document-QA-System Hybrid-RAG-Document-QA-System Public

    Python