Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Work History
Data Science Instructor
University Of Technology Sydney (IOD)
11.2023 - Current
Engage with the lead scientist to plan and implement the Data Science & AI program
Provide one-on-one mentoring and career advice to students, helping them navigate their learning path and career aspirations in data science.
Designed and supervised real-world based projects, enhancing students' practical application of theoretical knowledge.
Developed and taught a range of courses covering foundational and advanced topics in data science, including statistical analysis, machine learning, and data visualization.
Emotion Detection in Tweets using Machine Learning
Used machine learning algorithm such as Random Forest, SVM, Logistic Regression, KNN, Gradient Boosting, and Multinomial Naive Bayes to see which model would best predict emotions in tweets.
The Early Signs of Sleep Disorders using Machine Learning
Used machine learning algorithm such as Random Forest, SVM, Logistic Regression, KNN, Gradient Boosting, Multinomial Naive Bayes to see which algorithm would be best to predict early signs of sleep disorders.