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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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dinabandhu50/README.md

Hi there my name is Dinabandhu Behera 🙌

I am Dinabandhu, a data scientist with extensive experience in machine learning, artificial intelligence, and generative AI, actively contributing to innovative projects since August 2018. I specialize in solving complex problems, particularly in finance and healthcare, and am deeply passionate about the transformative potential of AI in advancing the healthcare industry. With a strong commitment to data science research, I am dedicated to furthering my expertise and making meaningful contributions to the field.

Experiance

  • 🤖 Full Stack Data Scientist at Zenon Analytics (Oct 2022 - present)
  • 🤖 Data Scientist at AIRA MATRIX (Nov 2020 - Sept 2022)
  • 🤖 Machine Learning Engineer at Virtusa (Aug 2018 - Aug 2020)

Technologies

  • 🌟 ML libraries : transformers, openai, pytorch, pytorch_geometric, scikit-learn, xgboost, catboost
  • 🌟 Backend : git, fastAPI, sql, redis and Docker

Education

  • 🎓 M.Tech in Biomedical Engineering from IIT Bombay
  • 🎓 B.Tech in Electronics and Electrical Engineering from IIT Guwahati

Contact

GIthub

  • 😄 Pronouns: ... Deen Bandhu
  • 🔭 I’m currently working on ... Gen AI's application in healthcare
  • 🌱 I’m currently learning ... Gen AI
  • 🤔 I’m looking for help with ... Staying up to date with latest AI advancements
  • 💬 Ask me about ... AI/ML

Pinned Loading

  1. credit-lead-prediction credit-lead-prediction Public

    Binary classification problem for credit lead prediction. Used XGBoost, RandomForest and CatBoost model for prediction. Optimized hyperparameter using optuna.

    Jupyter Notebook

  2. PROJECT_tox21 PROJECT_tox21 Public

    Multi-label classification problem.

    Jupyter Notebook

  3. FREQUENT_OPIATE_PRESCRIBER FREQUENT_OPIATE_PRESCRIBER Public

    End-to-end binary classification problem to predict frequent opiate prescriber. A nice project structure, which involved scikit-learn pipeline, flask api, pypi packaging and many more.

    Jupyter Notebook 2 1

  4. ecrl/padelpy ecrl/padelpy Public

    A Python wrapper for PaDEL-Descriptor software

    Python 184 35

  5. histo-cancer-image-classification histo-cancer-image-classification Public

    This is the binary image classification of histopathologic cancer detection dataset.

    Jupyter Notebook

  6. TPGSJan2022 TPGSJan2022 Public

    Kaggle tabular playground series Jan 2022

    Jupyter Notebook