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Keep calm and analyze data 📈
:atom:
Keep calm and analyze data 📈
191 followers · 80 following

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Achievement: Starstruckx3Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

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Achievement: Starstruckx3Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

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harshbg/README.md

Hi Traveller, I am Harsh 👋

GitHub Twitter Views

Hi, I'm Harsh Gupta, an infinitely curious and passionate Data Scientist based in San Jose, California.

  • 🔭 I’m currently experimenting with Retrieval-Augmented Generation (RAG) systems to enhance knowledge processing.
  • 🤖 Exploring ways to integrate AI agentic workflows for more efficient problem-solving.
  • 🌱 I’m diving deeper into API integration and learning how to leverage it for scalable AI solutions.
  • 👯 I’m open to collaborations on pro-bono data science or AI projects, particularly those aligned with making a social impact.
  • 📫 You can reach me on Twitter!

Harsh's github stats

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  1. Sign-Language-Interpreter-using-Deep-Learning Sign-Language-Interpreter-using-Deep-Learning Public

    A sign language interpreter using live video feed from the camera.

    Python 569 226

  2. US-Consumer-Time-Spend-Analysis US-Consumer-Time-Spend-Analysis Public

    An analysis of the time spending habits of American consumers.

    R 5 1

  3. Los-Angeles-Restaurant-Data-Analysis-and-Prediction Los-Angeles-Restaurant-Data-Analysis-and-Prediction Public

    An analysis of the inspection data of the restaurants in the 88 cities of Los Angeles county.

    Jupyter Notebook 2 1

  4. Shaving-Blades-Analysis Shaving-Blades-Analysis Public

    An analysis of the shaving blades market in the United States.

    SAS 6 2

  5. PUBG-Game-Data-Analysis PUBG-Game-Data-Analysis Public

    An Analysis of Player Unknown's Battle Grounds (PUBG) Game Data using Hive and Spark.

    Scala 1 4

  6. Energy-Efficiency-Enhancement-using-Neural-Networks Energy-Efficiency-Enhancement-using-Neural-Networks Public

    Assessing the heating load and cooling load requirements of buildings as a function of building parameters.

    Jupyter Notebook 3 3