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prakhar-189/README.md

💫 About Me:

• 🔭 I'm currently working on AI Agents — software systems that can automate repetitive tasks.
• 👯 I'm looking to collaborate on AI-powered tools & SaaS products
• 🤝 I'm looking for help with scaling products & growth strategies
• 🌱 I'm currently learning Multimodal AI Agents, Deep Learning and Advanced Generative AI.
• 💬 Ask me about visual dashboards, EDA, MySQL, Machine Learning & CI/CD Pipeline
• ⚡ Fun fact I built an deep learning model that can recognize traffic images and train a model that can be used for automation driving of vehiles.

🌐 Socials:

Instagram LinkedIn X email

💻 Tech Stack:

Python AWS Anaconda Flask Streamlit OpenCV MySQL Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub Power Bi

📊 GitHub Stats:



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  1. Agentic-Data-Analyst-Assistant Agentic-Data-Analyst-Assistant Public

    A self-correcting agentic EDA system powered by LangGraph and a local LLM (Qwen 2.5 Coder via Ollama). Upload a dataset, ask questions in plain English, and the agent automatically writes, executes…

    Jupyter Notebook 1

  2. Student-ML-Project Student-ML-Project Public

    Built a production-ready ML web application that predicts student math scores using Flask and Scikit-learn, deployed on AWS Elastic Beanstalk with a fully automated CI/CD pipeline via CodePipeline.

    Jupyter Notebook 1

  3. Autonomous-Driving-Deep-Learning Autonomous-Driving-Deep-Learning Public

    End-to-end autonomous driving project combining deep learning-based vehicle detection (Faster R-CNN) and data analysis of Tesla autopilot incidents, covering full ML pipeline from data ingestion to…

    Jupyter Notebook 1

  4. Songs-Cohorts-ML Songs-Cohorts-ML Public

    Songs Cohort ML Project - This project applies exploratory data analysis and unsupervised machine learning to Spotify audio features of Rolling Stones songs. By using PCA, t-SNE, and K-Means cluste…

    Jupyter Notebook 1

  5. Financial-Fraud-Analysis Financial-Fraud-Analysis Public

    Multi-tool financial fraud analysis using MySQL, Python, Excel & Tableau — uncovering fraud patterns, geographic hotspots, and transaction trends across credit card data.

    Jupyter Notebook 1

  6. Online-Retail-SQL-PowerBI Online-Retail-SQL-PowerBI Public

    End-to-end online retail analytics project — raw transactional data cleaned and modeled in MySQL, with RFM segmentation, cohort analysis, and KPIs visualized in an interactive Power BI dashboard.

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