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I'm Anshul Raj Verma

arv-anshul

Anshul Raj Verma

Currently, I am in 12th standard but dedicated to mastering Data Science and ML for the past two years. I've built a very good knowledge in Python and Data Science libraries. I've developed a solid foundation and applied it to various projects. Notably, I showcase my expertise in web scraping, demonstrated through projects like ecommerce-scrapper-api. Continuously expanding my technological horizons, I have successfully completed multiple ML projects, such as yt-watch-history, campusx-real-estate.

                   

Experiences

  • Data Science Intern
    @LeapX.ai • July 2024 - Nov 2024 (5 months)

    • A web-scraper using Scrapy framework which scrapes data and stores it in database using pipeline.

    • A streamlit dashboard which analyses real-estate data and cluster affluent areas and plot them on map.

    • A chatbot powered by OpenAI LLMs to query your AD campaigns data, also plot graphs on your query.

Projects

  • YouTube Comment Sentiment

    An end-to-end machine learning project to predict sentiment of comments on YouTube videos. It uses NLP and ML to predict sentiment of comments. Backend made using FastAPI and hosted on Render.com. Frontend made using VueJs and hosted on GitHub Pages.

                                       

  • Canvas AI

    Parse and Analyse image containing mathematical expression or problem (it can be in a drawing format) using AI to give a structured response by leveraging Langchain framework. Also created API out of it using FastAPI which has containerized with Docker.

                         

  • YouTube Watch History

    A streamlit app where you can upload your YouTube Watch History Data to see insights on your viewing pattern. Your data will go through a ML Model which predicts the ContentType of each video your have watch. The app fetches more details of each video through YouTube API. There is also a Channel Recommender System in the app which recommend you similar channels on the basis of channel's video titles and tags they had used.

                                         

All Projects

Tech Stacks

  • Data Science

                 

  • Dev Tools

               

  • Dev/ML Ops

           

  • Frameworks

                 

  • Frontend Frameworks

             

  • Languages

                 

  • Python Specific

             

  Download Resume