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@Angelic-Interpretability

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abhi-gm/README.md

Machine Learning Engineer / Data Scientist / MLOps Engineer

⚡ Building CI/CD pipelines for training ML models, packaging and monitoring the ML models and deploying into Kubernetes Cluster.
⚡ Developing scalable production-ready Machine Learning models for various use cases to create business value.
⚡ Experience in working with DeepLearning and Classical machine learning algorithms.
⚡ Experience in working with ML-OPS - Deploying machine learning models into production.

I am available virtually on every social media. I can help you with Machine Learning, Deep Learning, Deployment of ML models, Reinforcement Learning and Explainable AI problems. Connect to me here:

Can Email me at - [email protected]

⚡ Technologies

MLOps Technology and Cloud Technology

Tools

Docker Amazon AWS Microsoft Azure CI/CD Pipelines Git GitHub

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  1. Cross-Channel-Marketing-Spend-Optimization Cross-Channel-Marketing-Spend-Optimization Public

    Developed a Data-pipline using Amazon AWS

    Jupyter Notebook 1

  2. Reinforcement-Learning-Stock-Trading Reinforcement-Learning-Stock-Trading Public

    Python 1

  3. Fast-Scalable-and-Easy-Machine-Learning-With-DAAL4PY Fast-Scalable-and-Easy-Machine-Learning-With-DAAL4PY Public

    Python 1

  4. Multi-Armed-Bandits-for-Recommendations-and-A-B-testing Multi-Armed-Bandits-for-Recommendations-and-A-B-testing Public

    Jupyter Notebook 2 1

  5. PowerBI-Dashboard-for-Price-Optimization-and-Dynamic-Forecasting PowerBI-Dashboard-for-Price-Optimization-and-Dynamic-Forecasting Public

    Segmenting customers into different categories, Building a dynamic pricing model and demanding forecasting, Predicting the next purchase date, Building the dashboard for the Nike marketinfg team

    Jupyter Notebook 11 4