kareem ehab

Data Scientist

https://talent.gravityer.com/kareem-ehab

Member since June 30, 2026

Key Strengths

Demonstrated interest in various deep learning and machine learning applications through personal projects.
Experience with image classification, natural language processing (NLP), and customer segmentation tasks.
Proficiency in Python and Jupyter Notebook for data science tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a breadth of interest in different data science domains (computer vision, NLP, clustering). However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit. The projects are all personal, which is common for an entry-level candidate, but provides limited insight into collaboration or work ethic.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.

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Projects

Intel-Image-Classification-using-Transfer-Learning-ResNet50-

May 4, 2026 – Present

A deep learning project that classifies natural scene images from the [Intel Image Classification dataset](https://www.kaggle.com/datasets/puneet6060/intel-image-classification) into 6 categories: **buildings, forest, glacier, mountain, sea, and street**.

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-Clustering-Based-Customer-Segmentation-with-CI-EC-Algorithms

April 18, 2026 – Present

-Clustering-Based-Customer-Segmentation-with-CI-EC-Algorithms — GitHub repository

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hw_openqa

April 6, 2026 – Present

NLU Task 02

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hw_sentiment

April 6, 2026 – Present

NLU TASK 01

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lipsync

December 1, 2025 – Present

lipsync — GitHub repository

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Car_Type_Classification_Description

November 27, 2025 – December 9, 2025

Car Type Classification Description: Classify the make and model of cars based on images. Dataset: Stanford Cars Dataset. Additional Notes: Explore fine-grained classification to handle similar-looking car models.

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Image_Processing_Project

November 25, 2025 – December 14, 2025

Image_Processing_Project — GitHub repository

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Breast-Cancer-classifier-using-Deeplearning-model

August 4, 2025 – Present

This project aims to develop a deep learning-based model to classify breast cancer as either benign or malignant The task is framed as a binary classification problem, utilizing a dataset composed of categorical and numerical features related to tumor characteristics

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SentimentAnalysisUsingTensorflow

March 20, 2025 – March 20, 2025

Simple Sentiment Analysis using Tensorflow (NLP Task)

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IT-Project

April 4, 2023 – April 29, 2023

IT-Project — GitHub repository

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Key Strengths

Demonstrated interest in various deep learning and machine learning applications through personal projects.
Experience with image classification, natural language processing (NLP), and customer segmentation tasks.
Proficiency in Python and Jupyter Notebook for data science tasks.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.

kareem ehab

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit