Mohamed Ahmed

Mohamed Ahmed has diverse work experience in data science and computer vision engineering. Mohamed is currently working at wefox as a Senior Data Scientist, where they are involved in data collection, cleaning, analysis, and visualization, as well as building and evaluating machine learning models. Prior to this, they worked as a Data Scientist at wefox, where they performed similar tasks, focusing on hypothesis creation and model evaluation.

In their previous roles, Mohamed worked as a Computer Vision Engineer at Novamia AB, where they developed an automated segmentation pipeline for medical image segmentation. At HERE Technologies, they worked as a Data Scientist, contributing to the Dynamic Population Density project by developing geospatial features and proving the efficacy of the dataset with data and visualizations.

Furthermore, Mohamed has experience as a Machine Learning, Computer Vision, and NLP Engineer at EOH Middle East, where they implemented a chatbot and applied text preprocessing and classification techniques. Mohamed also worked as a Teaching Assistant at the Faculty of Engineering Cairo University, where they taught Data Structure principles and provided guidance to students.

Additionally, Mohamed participated in the Near Earth Objects Machine Learning Competition, where they collaborated with a team to classify Near Earth Objects. Mohamed has also worked as a Robotics and Embedded Systems Instructor at MechStem and completed an internship at IBM.

Overall, Mohamed Ahmed's work experience highlights their expertise in data science, machine learning, computer vision, and teaching.

Mohamed Ahmed attended Cairo University from 2011 to 2016, where they obtained their Bachelor's degree in Computer Engineering. In 2018, they pursued a Master's degree in ICT-Innovation (Autonomous Systems) at Technische Universität Berlin. During the same period, they also enrolled in EIT Digital Alumni to further their studies in Autonomous Systems.

In 2019, Mohamed Ahmed continued their education at KTH Royal Institute of Technology, where they completed a Master's degree in ICT-Innovation (Autonomous Systems). Additionally, they attended the EIT Digital Summer School at KTH Royal Institute of Technology, specializing in Big Data Analytics.

Mohamed Ahmed also obtained several certifications to further enhance their skills. In 2018, they completed courses such as "Mathematics for Machine Learning: Multivariate Calculus," "Mathematics for Machine Learning: Linear Algebra," "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Structuring Machine Learning Projects," "Neural Networks and Deep Learning," and "Machine Learning" from Coursera. Additionally, they received leadership training from Bayday Team in 2015.

Overall, Mohamed Ahmed has a strong educational background in Computer Engineering, ICT-Innovation (Autonomous Systems), and Machine Learning.