Shalwin Sanju

A web developer with a strong interest in leveraging data science and machine learning techniques to build intelligent and data-driven applications. With a solid foundation in web development and a passion for exploring data, I constantly seek opportunities to combine these skills to create innovative solution.

Projects :
Sentiment Analysis of Amazon Reviews

• Description: Conducted sentiment analysis on product reviews to gauge customer satisfaction and identify areas for improvement.
• Technologies Used: Python, Natural Language Processing (NLP), NLTK, Pandas

Songs App :

• Description : This application is built using React.js to create a user-friendly interface for searching and displaying song information. The Last.fm API is utilized to fetch details such as song title, artist, album, and more.
• Technologies Used
  React.js: A JavaScript library for building user interfaces.
  Last.fm API: An API that provides access to music-related data, including information about artists, albums, tracks, and more.

Proficient in web development technologies such as HTML, CSS, JavaScript, and frameworks like React js

• Strong understanding of data science concepts including data cleaning, analysis, visualization, and statistical modeling.
• Familiarity with Python libraries such as NumPy, Pandas, TensorFlow, Scikit-learn, and NLTK.