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Ahmed Yousri Sobhi

Ahmed Yousri Sobhi

Data Scientist

Technologies

My Portfolio Highlights

My New Track

Python Fundamentals

My New Track

Machine Learning Scientist

My New Track

Machine Learning Fundamentals

My New Track

Python Fundamentals

Data detective, solving mysteries with analytical prowess.

My Work

Take a look at my latest work.

track

Machine Learning Scientist

track

Machine Learning Fundamentals

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Data Scientist

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Machine Learning Scientist

DataCamp Course Completion

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

Courses

Introduction to Python
Intermediate Python
Data Manipulation with pandas
Joining Data with pandas

My Work Experience

Where I've interned and worked during my career.

Omdena | Jul 2023 - Present

Machine Learning Engineer

Project: Enhancing Orphanage Well-Being Through Computer Vision • Developed a computer vision system to assess children’s emotional well- being, monitor their activities, and evaluate worker performance, fostering a better quality of care in Egyptian orphanages. • Successfully implemented and customized state-of-the-art repositories like InsightFace to align with project objectives, enabling precise face recognition within our dataset and enhancing project efficiency. • Spearheaded research and development efforts for activity recognition within orphanages, contributing to the project’s accurate assessment of children’s emotional states.
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Omdena | Jun 2023 - Aug 2023

Machine Learning Engineer

Project: Weather Forecasting and Reducing Traffic Congestion in Southeast Asia Using Machine Learning • Collaborated on the development of an advanced weather forecasting system tailored to Southeast Asian countries and cities, by enhancing the accuracy of weather predictions, particularly for extreme weather events. • Played a role in building the model pipeline for weather forecasting using Facebook Prophet and Statistical models. • Collaborated closely with a diverse team during brainstorming sessions to empower individuals and communities with the information needed to make well informed decisions and proactively respond to extreme weather conditions.

elmenus | Mar 2022 - Jun 2023

Data Scientist

• Worked on SAFe Agile - Scrum development process with planned releases & CRs. • Developed Time series forecasting model using Facebook Prophet and statistical models to forecast orders demands on hourly basis, achieving 82% accuracy with limited data. • Collaborated with the fleet squad lead to automate and enhance the overall system by designing and implementing a precise shift planning system for runners. This system effectively assigns runners to their designated shifts slots based on multiple target KPIs, streamlining the process and reducing manual efforts. • Collaborated with team members on a project focused on enhancing the accuracy of the Estimated Delivery Time (EDT). Engaged in brainstorming sessions and meticulously validated various approaches, taking into account multiple factors and features. Achieved a significant 10% increase in accuracy. • Collaborated with product managers on Ad-hoc tasks for business that requires database integration, data visualization, performing analysis, and building machine learning models pipelines on AWS SageMaker. • Contributed to alarm initiatives aimed at monitoring projects status by utilizing AWS Lambda functions and seamlessly integrating the outcomes with a designated Slack channel. • Generated meticulous reports and documentation for project pipelines and organized essential information within Confluence.

Tekomoro | Oct 2021 - Jan 2022

Machine Learning Engineer

• Developed a multi-stage pipeline that effectively generates a Bird’s Eye View (BEV) from stereo camera mounted on vehicle’s roof. • In Pipeline stages, started from modifying Pseudo-Lidar repository to enable accurate depth estimation from stereo images, converting them into Lidar point clouds. • Customized and modified an existing AVOD network repository to seamlessly integrate it into the project pipeline, ensuring compatibility and enhancing its functionality for accurate 3D object detection. • Developed the project pipeline using the KITTI Vision dataset, following the methodologies outlined in the ’Wasserstein Disparity’ paper, to ensure accurate and reliable results. • Established connections between pipelines on Linux machines and in cloud, leveraging NVIDIA GPUs for enhanced performance. • Employed agile project management methodologies to track progress, manage tasks, and adapt to evolving project needs, ensuring efficient and timely delivery. • Documented the project process, including the methodology, technical specifications, and outcomes, ensuring comprehensive. project documentation for future reference and knowledge sharing • In Pipeline stages, started from Pseudo-Lidar which is image-depth Estimation from stereo images to create depth map then converted into lidar points cloud, To Aggregate View Object Detection (AVOD) network for 3D object detection to detect car location in 3D space, Then generated Bird’s Eye View in final stage, Using KITTI Vision dataset based on ’wasserstein Disparity’ paper.

Robokid Academy | Jul 2018 - Aug 2021

Co-Founder and Lead Software Developer

• Co-founded the Robotics Academy and assumed a pivotal role taking on the key responsibility of Lead Software Developer. • Demonstrated leadership by training and mentoring a team of engineers, fostering their technical and instructional skills, qualifying them as instructors. • Engaged in extensive ideation to formulate product development plans and established technical partnerships with both companies and educational institutions. • Implemented an innovative approach to academy management, regularly delivering progress reports to parents, resulting in a substantial boost in customer retention rates. • Instructed students spanning undergraduates to graduates in programming languages, including C and Python, while imparting expertise in robotics fabrication and design. • Provided inspirational guidance and leadership to teams participating in global competitions for Remotely Operated Underwater Vehicles (ROV) and Unmanned Ground Vehicles (UGV), maintaining first-place position worldwide in both 2019 & 2021.

EBNI Incubator | Mar 2018 - Dec 2020

Co-Founder | Embedded Software Engineer

• Engineered and deployed innovative home automation products with embedded systems, effectively delivering IoT solutions to enhance connectivity and automation in residential environments. • Introducing the Smart Room Counter, a cutting-edge product designed for hotels to minimize electricity consumption within guest rooms. By employing advanced sensors, this innovative solution detects the presence of individuals entering or exiting the room, allowing for automated control of electricity usage when the room is unoccupied. • Introducing the Smart Plug, an innovative device that not only measures the voltage, current, and power consumption of connected devices but also provides control over their on/off status. Seamlessly integrated with a mobile app, this product allows users to conveniently monitor and track the collected data.

My Education

Take a look at my formal education

Artificial IntelligenceInformation Technology Institute (ITI) | 2022
Bachelor of Science - BS, from Department of Electrical Engineering, Communication and Electronic...Alexandria University | 2019

About Me

Ahmed Yousri Sobhi

Experienced and results-driven data scientist with a background in the food delivery industry and other domains. Skilled in leveraging AI and machine learning to drive innovation and optimize systems.

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