Explored and optimized a machine learning pipeline for binary classification tasks.Utilized a large dataset with 40,000 unique IDs and implemented lasso regression for feature selection.Conducted exploratory data analysis (EDA) using correlation heatmap and pairwise plot.Implemented various algorithms, including logistic regression, gradient-boosting classifier, XG Boost classifier, K-nearest neighbors, and random decision forests.Evaluated models using K-fold cross-validation, accuracy, log loss, and MSE metrics.Achieved optimal classification performance, surpassing benchmarks, with XG Boost and logistic regression.

Led the front-end design using HTML, JavaScript, and CSS to create a dynamic Fretboard.Strings and Frets are dynamically created on startup, making the application fully scalable for future projects involving more frets, or different stringed instruments like bass or ukelele.Worked with a team of engineers to craft a unique and exciting user experience.Enabled students new to guitar playing to successfully play chords through a user-friendly experience.

Served as in-game leader and team captain in 30+ season matches, making decisive decisions while under pressure.Developed and implemented effective strategies to enhance team performance during matches.Finished first place in Rendezvous Valorant Immortal and higher tournament.

Trained and mentored over 20 new employees, fostering a collaborative and efficient work environment.Worked with a diverse team of over 60 employees to ensure a pleasurable experience for customers.Achieved a 100% resolution rate for customer service needs through effective communication and problem-solving skills