8000 NeuralAditya (Aditya Arora) · GitHub
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NeuralAditya/README.md

👋 Hi, I’m Aditya!

I’m currently studying at DSBDA @ MIT WPU, Pune. My passion lies in transforming data into valuable insights and decisions. 🚀

I enjoy solving problems and building practical, scalable solutions using analytics, machine learning, and cloud technologies. Whether it's analyzing data or deploying a machine learning model, I aim to drive real-world impact. 📊💡

  • My Technical Expertise Includes:

    • Programming: Python, C, SQL, Julia
    • Cloud & Big Data: AWS, Spark, Docker, Kubernetes
    • Machine Learning & AI: Predictive Modeling, NLP, TensorFlow/PyTorch
    • Data Engineering: ETL Pipelines, Apache Airflow, Databricks
    • Visualization: Power BI, Tableau, Matplotlib/Seaborn

  • Skills I’m Working With:

    • Python | Flask (Web Dev) | scikit-learn (ML) | pandas (Data Manipulation) | NumPy (Numerical Computing)
    • Predictive Modeling | Random Forest | Model Evaluation & Tuning
    • Data Cleaning | Feature Engineering | TF-IDF (Text Features)
    • matplotlib, seaborn (Data Visualization)
    • Flask Deployment | Web UI Integration | HTML/CSS/JS (Styling)

🏅 Certifications

Introduction to Data Science     Python Essentials 1     Data Fundamentals - IBM SkillsBuild     AI Fundamentals - IBM SkillsBuild

  • 🖥️ Programming:
    Julia
    Python
    C
    SQL

  • ☁️ Cloud & Big Data:
    AWS
    Spark
    Docker
    Kubernetes

  • 🤖 ML/AI:
    Predictive Modeling
    NLP
    TensorFlow
    PyTorch

  • 🔄 Data Engineering:
    ETL Pipelines
    Apache Airflow
    Databricks

  • 📊 Visualization:
    Power BI
    Tableau
    Matplotlib
    Seaborn

💡 Ready to collaborate on projects and create data-driven impact! ⚡

Pinned Loading

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    Linear regression implementation in pure C

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    An AI-powered trade prediction system using machine learning, technical analysis, and time series models. Built with FastAPI, React, and Tailwind CSS.

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    🍔 Campus meal ordering & management platform – built with React, Node.js, PostgreSQL, and Docker. Power 3103 ing efficient food systems for institutions.

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0