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Name: Dr. Malleswari Gelli

Type: User

Bio: An experianced scientist focus on data analytics, visualization and data science. I am passionate building end to end ML, DL pipelines using MLOPs principles.

Location: United States

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Hi I am Dr.Malleswari Gelli

Data Scientist/MLOPs Engineer

An accomplished researcher with 10+ years of experience in the life sciences focused on R&D, data analytics, visualization and data science. I am passionate about assisting stakeholders to develop, validate, deploy AI/ML models and automation by implementing MLOPs principles.

  • 🌍  I'm based in DesMoines, Iowa
  • βœ‰οΈΒ  You can contact me at [email protected]
  • 🧠  I'm currently learning Generative AI
  • 🀝  I'm open to collaborating on Generative AI projects
  • ⚑  I'm the happiest person on planet earth

πŸ’» Tech Stack:

Python AWS Azure Google Cloud Anaconda MySQL Postgres MongoDB NumPy Pandas Plotly SciPy scikit-learn TensorFlow Keras PyTorch Flask FastAPIJavaScript HTML5


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πŸ”₯ My πŸ“Š GitHub Stats:

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Dr. Malleswari Gelli's Projects

chest_disease_image_classification_ icon chest_disease_image_classification_

Build end-to-end DL pipeline for computer vision (Image classification) for β€œChest Disease Classification from Chest CT Scan Images” and deploy Flask web app to AWS EC2 with Docker and CI/CD tool: Jenkins

deploy_mlmodel_aws_ec2 icon deploy_mlmodel_aws_ec2

Build end-to-end ML Regression pipeline for predicting student's performance (test scores) and deploy Flask App to AWS Elastic Beanstack usingCI/CD tool: GitHub Actions

nameentityrecoginition icon nameentityrecoginition

Build an end to end pipeline for Named Entity Recognition (NER) by a pretrained Huggingface transformer, BERT and deploy to google cloud platform using Docker, CI/CD tool: CircleCI.

real_estate_house_price_prediction icon real_estate_house_price_prediction

Build end-to-end ML Regression pipeline for predicting housing price, deploy Flask app to cloud platform:Heroku with Docker, CI/CD tool: GitHub Actions

us_visa_approval_prediction icon us_visa_approval_prediction

Build End to End ML pipeline for USVisa prediction, deploy web App to AWS Ec2 instance using Docker, CI/CD with github actions

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