Technology Intern - Cyber Security Department

• Led as project manager overseeing 8 members, proficiently distributing tasks and ensuring accountability• Categorized discussion forum posts from various courses and developed visualizations depicting student and instructor post patterns for a better teaching environment.

• Designed a Python program to predict Parkinson's disease by training a machine learning model on patient data.• Employed data cleansing techniques to handle missing values and convert categorical data into a suitable format for machine learning.• Trained a classification model to predict the likelihood of Parkinson's disease to an accuracy of 82%