Rabiya Nazeer

Responsible and motivated student ready to apply education in the workplace. Offers excellent technical abilities with software and applications, ability to handle challenging work, and excellent time management skills.

Python with Data Science and Machine Learning, 06/01/22, 08/31/22

An EEG-based Novel Approach to Stress Level Identification,                                             

 Healthcare / Deep Learning, Python, TensorFlow, Keras, EEG Data Processing,

 Initiated a groundbreaking project aimed at early detection of stress levels in patients using EEG (Electroencephalogram) signals. Employed deep learning techniques to analyze EEG data and distinguish patterns indicative of stress. The project focused on developing a neural network model capable of processing and classifying EEG signals to accurately identify stress levels. Emphasized learning deep learning methodologies and applying them to real-world healthcare challenges, contributing to early intervention and better stress management strategies.

 Bank Marketing Prediction Using Machine Learning,                                                           

Data Science / Machine Learning, Python, Scikit-learn, Pandas, Matplotlib, 

Developed a predictive model to forecast the outcome of bank marketing campaigns based on customer data. Utilized various machine learning algorithms to analyze historical data and identify key factors influencing client responses. 

Food Order Management Web Application,                                                                                                   

 Lead Developer, React.js, Node.js, MongoDB, Express.js, HTML, CSS, JavaScript, Initiated and led the development of a comprehensive food ordering system designed to streamline the process of ordering food for customers and managing orders for restaurant staff. The project aimed at creating a robust, user-friendly web application that supports real-time order tracking and management.

Participated in a Machine Learning event, enhancing knowledge and networking within the field., 12/01/22