خبراء الذكاء الاصطناعي
Ebrahem
.
نبذة عني
.
الخبرة
Data Scientist
Not Employed Yet
Utilized exploratory data analysis and feature engineering to clean, transform, and analyze large datasets, leading to the creation of efficient data pipelines and more informed decision-making.
Enhanced predictive accuracy by developing and evaluating machine learning models, focusing on feature selection, multicollinearity, and model validation which lead to improved predictive accuracy.
Significantly improved user experience by developing a highly accurate and effective movie recommender system, achieving over 90% accuracy in personalized movie recommendations.
Improved model performance and data visualization interpretability by employing dimensionality reduction techniques such as PCA, MDS, and t-SNE, reducing dimensionality by 95% while maintaining 90% of data integrity.
Achieved over 95% accuracy in object detection and recognition by leveraging computer vision techniques with YOLO, OpenCV, and FaceNet.
Applied filtering, clustering, segmentation, and feature extraction using a depth camera; trained an SVM on the extracted features to perform 3D object detection.
المهارات
سايكيت ليرن
برمجة Python
Python
C++
OOP
SQL
Power BI
Data Pipelines
Statistical Analysis
Exploratory Data Analysis
Feature Engineering
Machine Learning
Regression
Image Classification
Text Classification
Ensemble Methods
Natural Language Processing
Dimensionality Reduction
Clustering Algorithms
Recommender Systems
Computer Vision
OpenCV
YOLO
Object Detection
Face Detection
Face Recognition
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