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sumitdeole/README.md

Hello there!

Hi, I'm Sumit, a trained data scientist and experienced economist with over 4 years of experience. I thrive on diversity, innovation, and continuous learning. My interests span from Python/SQL programming to applying solutions in various domains, such as NLP and E-commerce.

  • 🧠 I'm currently exploring Machine Learning and Deep Learning.
  • ⚡ Currently upscaling with a Data Science Bootcamp at WBS coding school.
  • 🤝 Open to collaborations in Data Science and Data Product Management.

Skills

Python Rlang Git MySQL TensorFlow Google Cloud

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  1. make-sales-happen make-sales-happen Public

    This project uses computer vision to implement an end-to-end solution for offline retailers to target their sales efforts toward more valuable customers in the store in real-time.

    Python

  2. A-B-testing-in-digital-marketing A-B-testing-in-digital-marketing Public

    This project analyses the A/B testing dataset from digital marketing. I perform EDA and hypothesis testing to explore the effectiveness of advertisements versus public service announcements (PSAs)

    Jupyter Notebook 1

  3. data-pipelines data-pipelines Public

    Scooter-sharing system use case: This project demonstrates a local and cloud execution of automated data collection and cleaning pipelines.

    Jupyter Notebook 1

  4. llms-from-rag-to-chatbots llms-from-rag-to-chatbots Public

    LLM usecase: This project uses Langchain and Llama libraries to fool around with LLM models.

    Jupyter Notebook

  5. supervised-ml supervised-ml Public

    This project uses the famous housing price prediction dataset and employs the two supervised ml algorithms (classification and regression).

    Jupyter Notebook 1

  6. daxeda/unsupervised_ml_moosic daxeda/unsupervised_ml_moosic Public

    In this project, we will apply different unsupervised machine learning clustering techniques on Spotify data to classify 5000 songs into 25 playlists.

    Jupyter Notebook 1