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uahmad235/README.md

Hi there 👋

  • I am Machine Learning Engineer with more than 4 years of professional experience in the domain of Data Science and NLP.
  • I've worked mostly on NLP and Tabular data analysis by drawing insights from both, structured and unstructured, datasets.
  • I also have sound knowledge of CV & Image processing techniques.
  • I have sound familarity with SOTA NLP techniques and models like the Attention-based Transformers and Sequence Modelling for solving real-world problems.
  • My experience spans over a diverse set of tasks like automation through NLP, Document Similarity, NER, Text Classification etc.
  • I enjoy exploring different areas of Machine Learning and its applications in the real-world.
  • The future plan is to diversify my knowledge and experience by exploring other areas (like Speech, Computer Vision) and applying those expertise to make a difference in the world.

Popular repositories Loading

  1. GTSRB_sign_classification GTSRB_sign_classification Public

    GTSRB sign classification using VGG16 and custom CNN-based architecture in pytorch.

    Jupyter Notebook 1

  2. Caltech256_classification Caltech256_classification Public

    VGG16 finetuning vs CNN implementation in pytorch for performance comparison.

    Jupyter Notebook 1

  3. textrank textrank Public

    Forked from summanlp/textrank

    TextRank implementation for Python 3.

    Python

  4. ClariSent ClariSent Public

    Aspect-based Sentiment Analysis of Restaurants and Amazon Mobile Reviews.

    Python

  5. NER-Deep-Learning NER-Deep-Learning Public

    Implementation of CNN + BiLSTM + CRF architecture in Keras for NER Extraction using CONLL dataset.

    Python

  6. RAKE-Keywords-Extraction RAKE-Keywords-Extraction Public

    Graph-based Implementation of Unsupervised approach Keyword Extraction Approach in NLP.

    Python