Statistics

Skills

Designed an attractive game-based learning platform for machine learning concepts
Developed engaging quizzes to test the user's knowledge
Developed interactive visualizations to help users understand the role of the hyperparamters
Authored user-friendly guides on various machine learning topics
Established a forum for users to seek assistance and engage with the community
Integrated Google OAuth to simplify and streamline the login process

Engineered a command-line application, Markify, leveraging Python to extract and analyze data from social media accounts
Employed NLTK for meticulous data sanitization
Demonstrated proficiency in interfacting with a variety of APIs (official and unofficial) to aggregate data
Employed the use of the markov chains for generating new sentences
Packaged the application for widespread use by uploading it to PyPI

Designed a web platform enabling users to interactively manipulate data generation processes and model hyperparameters, with visual feedback of the outcomes
Demonstrated knowledge and proficiency in the inner workings of various classification algorithms
Utilized Matplotlib for plotting the data and visualizing the decision boundaries
Developed an API using Flask to facilitate plot generation
Implemented thorough error validation mechanisms
Deployed the website using PythonAnywhere

Developed a spotify scraper and a corresponding website enabling users to receive personalized recommendations based on Spotify track links or IDs
Utilized a custom optimized K-Nearest Neighbors algorithm for recommendation generation
Implemented MongoDB as the database backend for efficient data storage and flexible querying capabilities
Containerized the web server using Docker for seamless deployment and execution across diverse environments
Leveraged the Spotify API to scrape the audio features of over 7 million songs
Implemented robust error handling within the scraper as to prevent interruptions due to errors during operation, thereby ensuring continuous operation over extended durations without interruptions
Demonstrated adeptness in utilizing both, official and unofficial APIs for data acquisition
Designed a minimalist yet responsive frontend interface, prioritizing usability and simplicity without unnecessary clutter

Engineered a TicTacToe AI implementing the minimax algorithm for optimal decision-making
Streamlined the development process by utilizing PyScript, eliminating the need for a conventional frontend-backend separation
Deployed and showcased the project on GitHub Pages