IBM Certifications:
Google Certifications:
Others:
https://github.com/atheermoh
Machine Learning Projects:
A project that utilizes supervised learning techniques for imbalanced multiclass classification. The goal of this project is to predict the race of a soldier based on a given set of features.
In this project we applied many algorithms commonly used for regression problems to build a model that provide accurate predictions about the cars prices.
This project aims to provide accurate predictions regarding customer churn using ANN model. Understanding and predicting customer behavior can help businesses take proactive measures to retain customers and optimize their services.
This project focuses on analyzing customer data and segmenting customers into distinct groups based on their spending habbits and characteristics.
Deep Learning Projects:
This project focused on images classification using Convolutional Neural Networks (CNN) with the Fashion MNIST dataset. The project demonstrates how to build a CNN model to classify images of fashion items
Natural Language Processing Projects:
We used Natural Language techniques to find broad trends in the written thoughts of the customers. The goal in this project is to predict whether customers recommend the product they purchased using the information in their review text.
Google UX design certificate Projects:
Conducted user interviews, and performed competitor analysis to identify pain points and user preferences.
Developed user personas and user journey maps to guide the design process.
Utilized Figma to create interactive prototypes and wireframes. Iteratively refined designs based on feedback from stakeholders and usability testing.
Implemented a modern and user-friendly interface, focusing on a clean layout, intuitive navigation, and a cohesive color scheme. Established and maintained a design system for consistency.
Conducted usability testing with real users, incorporating feedback to improve the overall user flow and address specific pain points.