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shrisrivas/README.md

💫 About Me:

Passionate about implementing end to end Machine Learning across Industry domains through predictive modeling, quantitative analysis,business insights through data visualisation and Deployment.

📊 Customer Lifetime Value and rating calculation
🔍 Thorough data analysis using Python, SQL, and Excel
📈 Data visualization with Tableau and Power BI
🤝 Collaborative approach with cross-functional teams
💡 Setup and operation of Customer Intelligence for profiling and segmentation**

🌐 Socials:

Discord LinkedIn Medium

💻 Tech Stack:

Python Azure AWS Flask Nginx Jenkins MongoDB MySQL ApacheCassandra Keras NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow Postman Kubernetes Docker

📊 GitHub Stats:

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  1. Project_APS_Fault_detection_final Project_APS_Fault_detection_final Public

    Jupyter Notebook

  2. Project_Data_labelling_chest_images Project_Data_labelling_chest_images Public

    Jupyter Notebook

  3. project_EDACollection project_EDACollection Public

    Forked from iNeuronai/EDACollection

    a collection of different Exploratory Data Analysis Aproaches

    Jupyter Notebook

  4. Project_Intent_Classification_AITS Project_Intent_Classification_AITS Public

    Jupyter Notebook

  5. Project_Medical_Insurance Project_Medical_Insurance Public

    Python