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jaysavani1/README.md

💫 About Me:

I'm Data Scientist with 3+ years (in industry) of broad-based experience in building data-intensive applications, overcoming complex architectural, and scalability issues in diverse industries. Proficient in predictive modeling, data processing, and machine learning algorithms, as well as scripting languages including python. Capable of creating, developing, testing, and deploying highly adaptive diverse services to translate business and functional qualifications into substantial deliverables.

🌐 Socials:

LinkedIn Medium

💻 Tech Stack:

Python R Markdown Azure AWS Google Cloud Apache Spark nVIDIA FastAPI OpenCV Streamlit Apache Airflow MongoDB MySQL SQLite Keras Scipy TensorFlow scikit-learn PyTorch Pandas NumPy mlflow Matplotlib Plotly Power Bi

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    Built with AWS Strands Agents, Amazon Aurora PostgreSQL, Amazon Bedrock, and MCP (Model Context Protocol)

    HTML

  2. MARA-Multi-Agent-Research-Assistant MARA-Multi-Agent-Research-Assistant Public

    A powerful multi-agent research system built with LangChain that autonomously researches topics, gathers information, writes comprehensive reports, and evaluates their quality using AI-powered agents.

    Python

  3. GCP-ELT-Financial-Data-Pipeline GCP-ELT-Financial-Data-Pipeline Public

    GCP ELT pipeline project with dbt, Cloud Run, Composer, BigQuery, and Dataplex. Includes event-driven automation and data quality checks.

    Python

  4. Automl-Junior Automl-Junior Public

    Introducing Zero Code or No Code ML Platform: Accelerate Machine Learning without Coding

    Python

  5. Databricks-Cost-Monitor Databricks-Cost-Monitor Public

    Azure Databricks cost tracking dashboard/monitor

    Python 2

  6. Advanced-Data-Engineering Advanced-Data-Engineering Public

    A production-ready data engineering platform for Olympic Games analytics and global sports insights.

    Python