I'm Sanjana, a passionate developer from North Carolina, USA.

🌱 I'm currently learning and working on various exciting projects. 💬 Ask me about my research! I’m a Ph.D. student in Computer Science, deeply passionate about NLP and AI/ML in both academia and industry.

• Programming Languages:

  • Python
  • Java
  • C / C++
  • R

• Machine Learning:

  • Natural Language Processing / Sentiment Analysis
  • Pandas / NumPy
  • Scikit Learn
  • Keras
  • PyTorch
  • Simple Transformers

• Frontend Development:

  • HTML / CSS
  • Angular JS

• Database:

  • PostgreSQL
  • MySQL
  • MongoDB

• Tools & Technologies:

  • Git/GitHub
  • VS Code, PyCharm, IntelliJ, Eclipse
  • Docker
  • Heroku

Here are some of the projects I'm proud of:

• Passel Discord Bot: Passel is a discord bot that manages the number of pins in a server. Discord has a pin limit of 50 pins per channel. However, with passel, that limit can be bypassed.
• MeHe: Aspects of social media have become detrimental to mental health, and since many people spend hours a day on Discord, this bot is here to help users improve their mental health as they use Discord. Below is a list of working functionalities as well as install and contributing instructions.
• Decoding Phonecase Reviews using Sentiment Analysis: When buying a product online, reviews offer consumers a justification on whether or not they want to buy the product. Stars are a succinct way of telling the consumer how other’s think of the product, but not all websites use a star system. Therefore, using a classification model to predict the star rating of a review can offer assistance to consumers that need a quick way of judging the sentiment around a product. For our models, we decided to focus specifically on phone case ratings because of the ease of access to a large number of data.
• Sway & XPLN modifications: Additional modifications to these algorithms can support the overall development of state-of-the-art clustering techniques to address stakeholders’ prioritization of features. Multi-objective semi-supervised learning models will provide value across domains and should continue to be researched thoroughly to support interdisciplinary domains.

Feel free to reach out to me through the following channels:

• Email: sanjanacheerla@icloud.com
• LinkedIn: Connect with me!

Feel free to explore my projects and get in touch with me. I'm always open to interesting collaborations and discussions. 😊