Analyzed wine quality dataset through data visualization, assessed multicollinearity, and performed regression and classification tasks. Explored Multivariate Linear Regression, Decision Tree, Random Forest, and Support Vector Regression for regression; Random Forest, Gradient Boost, SVM, Naive Bayes, KNN, XGBoost, Isolation Forest, LightGBM, and Decision Tree for classification. Demonstrated the efficacy of Principal Component Analysis in improving regression and classification models

Developed a Pygame incorporating palm detection and object detection for interactive gameplay. Implemented hand tracking to control the maneuvering of a blue coin representing the player, while red coins (enemies) fall from the top. Earned points by successfully maneuvering the blue coin and penalized for missed catches or going out of the frame. Additionally, integrated object detection challenges within the game, awarding extra points for correctly displaying objects asked by the game

Developed an end-to-end database system for aircraft passengers, translating user diagrams (EER) into a robust product. Executed and adhered to normalizations throughout the entire development lifecycle to ensure a compliant, and user-friendly solution.

Extracted over 10,000 tweets of each elon musk and random people on dogecoin using twitter API Extracted dogecoin price data in the period of time when tweets made Performed preprocessing of the data and then visualizations of that, showcasing elon musk tweets show an increasing trend in the dogecoin price whereas, by the random people tweets, the price is fluctuated randomly