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Amr Essam Kamaleldin Sayed Ahmad

Amr Essam Kamaleldin Sayed Ahmad

M.S. in Artificial Intelligence Student @BTU Cottbus-Senftenberg | Siemens GP Mentorship

BTU Cottbus-Senftenberg | Germany

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

Mindful analyst, decoding patterns to unravel the big picture.

My Work

Take a look at my latest work.

DataLab

Project: Exploring NYC Public School Test Result Scores

course

Introduction to Python

DataLab

Project: Analyzing Students' Mental Health

DataLab

Project: Exploring NYC Public School Test Result Scores

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate SQL
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Siemens | Aug 2025 - Present

Graduation Project Sponsership

Siemens EDA (Siemens Digital Industries Software) Graduation Project Sponsership Siemens EDA (Siemens Digital Industries Software)Siemens EDA (Siemens Digital Industries Software) Oct 2023 - Jul 2024 · 10 mosOct 2023 to Jul 2024 · 10 mos New Cairo, Cairo, Egypt · HybridNew Cairo, Cairo, Egypt · Hybrid Explorers and those interested in history often face challenges due to limited accessible and contextualized information about historical sites. Traditional resources frequently fail to deliver captivating narratives and personalized experiences, limiting the quality of historical exploration. Recognizing this gap, our project uses mobile technology, augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) to offer real-time, engaging, and location-specific historical insights. By seamlessly integrating AR and VR experiences, users can interact with historical sites, bringing the narratives of the past to life. This allows users to visit historical sites and learn about their history from the comfort of their homes. Our solution combines the visual richness of AR and VR with location-aware interactions and conversational intelligence. The app intuitively recognizes when users are near historical sites. Additionally, the integration of an intelligent chatbot allows users to pose questions and participate in interactive discussions about the historical significance of each site. This innovative approach transforms historical exploration into an interactive and immersive experience. You can check out the demo of the “Intelligent Heritage Explorer” here: https://lnkd.in/dzshFj2V Explorers and those interested in history often face challenges due to limited accessible and contextualized information about historical sites. Traditional resources frequently fail to deliver captivating narratives and personalized experiences, limiting the quality of historical exploration. Recognizing this gap, our project uses mobile technology, augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) to offer real-time, engaging, and location-specific historical insights. By seamlessly integrating AR and VR experiences, users can interact with historical sites, bringing the narratives of the past to life. This allows users to visit historical sites and learn about their history from the comfort of their homes. Our solution combines the visual richness of AR and VR with location-aware interactions and conversational intelligence. The app intuitively recognizes when users are near historical sites. Additionally, the integration of an intelligent chatbot allows users to pose questions and participate in interactive discussions about the historical significance of each site. This innovative approach transforms historical exploration into an interactive and immersive experience. You can check out the demo of the “Intelligent Heritage Explorer” here: https://lnkd.in/dzshFj2V Skills: Generative AI · Deep Neural Networks (DNN) · Neural Networks · Flutter · AI Prompting · Chatbot Development · Artificial Neural Networks · 3D Modeling · Neural Radiance Field (NeRF) · React.js · Large Language Models (LLM) · Prompt Engineering Skills: Generative AI · Deep Neural Net
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Synapse Analytics | May 2023 - Present

Data Science Intern

During my internship at Synapse Analytics, I had the opportunity to apply my academic knowledge to real-world data science projects, enhancing my technical and analytical skills. My responsibilities included: 1. Data Cleaning and Preprocessing: I worked extensively on cleaning and preprocessing raw data to ensure accuracy and consistency, preparing it for analysis and model building. 2. Machine Learning Model Development: I developed and trained various machine learning models to address specific business problems, using techniques such as regression, classification, and clustering. 3. Data Analysis and Visualization: I conducted exploratory data analysis (EDA) to uncover patterns and insights, and used visualization tools to present findings to the team. 4. Collaboration and Communication: I collaborated with team members to understand project requirements, share progress, and discuss potential solutions. This experience enhanced my ability to communicate complex technical concepts effectively. 5. Tool and Library Utilization: I utilized tools and libraries such as Python, Pandas, Scikit-learn, and Matplotlib to perform data manipulation, model building, and result visualization.

My Education

Take a look at my formal education

Master's degree in Artificial Intelligence Brandenburgische Technische Universität Cottbus-Senftenberg | 2026
bachelor of science (BSc) in Computer Engineering in Data Science Ain Shams university | 2024

About Me

Amr Essam Kamaleldin Sayed Ahmad

Amr is an aspiring Artificial Intelligence specialist currently pursuing a Master of Science in Artificial Intelligence @BTU Cottbus-Senftenberg. He holds a Bachelor’s degree in Computer and Systems Engineering

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