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Samargithubb/README.md

Hi there 👋

I'm Samar Singh, a passionate data scientist with a keen interest in leveraging data to uncover meaningful insights and drive informed decisions. My journey in data science has been a captivating blend of exploration, analysis, and problem-solving.

Data Science Portfolio

Welcome to my Data Science portfolio! This repository highlights some of the intriguing projects I've undertaken in the realm of data science and machine learning. Each project reflects my passion for exploring data, uncovering insights, and creating impactful solutions.

Feel free to navigate through the projects and delve into their details. Your feedback and suggestions are highly valued, so don't hesitate to share your thoughts.

Projects

Chat With Multiple PDFs

  • Description: Created a Python application integrating Langchain framework, HuggingFace's AI capabilities, and Streamlit's interface. This app enables users to query PDFs and receive accurate responses using advanced AI technology.
  • GitHub Link

Customer Personality Analysis

  • Description: Leveraged unsupervised ML techniques to build a customer personality classification model. This model offers valuable insights into customer attitudes and behaviors, aiding companies in refining products and optimizing marketing strategies.
  • GitHub Link

Convolutional Neural Network (CNN) Classifier

  • Description: Developed a CNN Classifier using TensorFlow to distinguish between dogs and cats. Achieved an impressive accuracy rate of 98.3% on the test dataset. Implemented version control with Git and seamless deployment using Docker.
  • GitHub Link

Back Order Prediction

  • Description: Addressed the challenge of predicting products at risk of going on back order. Employed data analysis to anticipate potential stock shortages, enhancing efficiency and customer satisfaction by avoiding delays in high-demand products.
  • GitHub Link

Text_Extraction_and_Analysis

  • Description: Extracted textual data from articles provided in the "input.xlsx" file. Ensured that only the article title and text were extracted, excluding any irrelevant content like website headers and footers. Utilized Python programming, specifically leveraging libraries such as BeautifulSoup, Requests, TextBlob, nltk or pandas for efficient data extraction. Conducted text analysis to extract actionable information from textual data, facilitating better decision-making, content optimization, and improved understanding of the content's characteristics.
  • GitHub Link

Connect with Me

Let's connect and collaborate! Feel free to reach out to me on LinkedIn and check out more of my projects.

Thank you for visiting my portfolio!

Happy exploring! 🚀📊🤖

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  1. GenAI-Projects GenAI-Projects Public

    Python 9 3

  2. AI-Agent AI-Agent Public

    Python 7 5

  3. GenAI-RAG GenAI-RAG Public

    Python 2 1

  4. Chat_With_multiple_PDF Chat_With_multiple_PDF Public

    Python 2

  5. Insurance_Premium_Prediction Insurance_Premium_Prediction Public

    Python 1

  6. LLM-Evaluation LLM-Evaluation Public

    Python 2