Shriram Aritakula

Enthusiastic Data Scientist with a growing proficiency in machine learning and web development.

During the internship at SmartInternz, focused on creating a Parkinson’s Disease detection model using Python and integrating it into a Flask-based website.

Also contributed to projects such as Galaxy, a social media website, showcasing skills in ReactJs and Tailwind CSS. With a commitment to continuous learning, eager to expand expertise and contribute to impactful projects in data science and web development.

Galaxy – A Social Media Website:

Tech Stack: ReactJs, Tailwind CSS, Sanity.io 

• This is a social media web application built with React and Tailwind CSS, using Sanity as a database and Google authentication. The web app allows users to create and share their own boards, as well as view and save other users' boards.

Sentiment Analysis with NLTKs Vader and Roberta

Tech Stack: Python, NLTK, Pandas, Matplotlib

• The sentiment analysis classifier in this project is trained to predict the sentiment of customer reviews on Amazon. The reviews are classified into positive, negative, or neutral. The project uses two different packages for the sentiment analysis: NLTK's VADER and Huggingface Roberta Transformers. The outputs of the two packages are compared and analysed to understand the differences in the model outputs

Topic Based Post Recommendation System using Generative AI

Tech Stack: Python, PyTorch, Transformers library (Huggingface), NLTK, KeyBERT

• This project aims to develop a recommendation system using advanced Generative AI techniques to suggest posts to users on platforms like Reddit or Quora. The system focuses on understanding and matching user interests with relevant posts, leveraging topics extracted from post content through Generative AI models.

• Google Cloud Foundation, Google, July 18, 2023