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Always on vacation
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Always on vacation

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immohann/README.md
  • I'm a Data Science Researcher working in Chicago. I'm proficient in building machine learning pipelines, predictive modeling, data analysis, model testing, and deployment.
  • I'm currently working on hypothesis testing for NLP reproducibility
  • πŸ“« Reach me at: [email protected]
  • πŸ‘Ύ Protfolio: < immohann / >

🌐 Socials:

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πŸ’» Tech Stack:

C CSS3 HTML5 JavaScript Python Shell Script AWS Azure Anaconda Django FastAPI React Apache Airflow AmazonDynamoDB MySQL PyTorch Keras NumPy Pandas Plotly scikit-learn SciPy TensorFlow LINUX Docker Kubernetes Notion

πŸ“Š GitHub Stats:

Mohan's GitHub stats

πŸ” Top Contributed Repo


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  1. Denoiser Denoiser Public

    An AI model to remove noise from the input audio using deep learning model which predicts the type of noise present and filter it out from the audio to give noise-free results.

    Jupyter Notebook 27 5

  2. churn-predictive-analysis churn-predictive-analysis Public

    The goal of this project is to develop a tool that predicts which customers are likely to leave a company based on their behavior, such as purchase history, customer service interactions, and demog…

    Jupyter Notebook

  3. Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs Public

    Forked from kamalkraj/Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

    Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

    Python

  4. legal-summarizer legal-summarizer Public

    A abstractive text summarizer designed in Pytorch to summarize complex Terms and Conditions articles. Leveraging the T5-Small language model, it accurately condenses legal documents into concise su…

    Jupyter Notebook 2

  5. Lyrics-inducer Lyrics-inducer Public

    Lyrics-Generator/Inducer using LSTM and NLP in Tensorflow. lyrics inducer works: for any word given as the input and output will be a set of words forming some lyrics of song.

    Jupyter Notebook

  6. movie-recommender movie-recommender Public

    Jupyter Notebook