I am a goal-driven and eager-to-learn Computer Science graduate with practical experience in Python, machine learning, and data analysis. I enjoy turning complex datasets into actionable insights and building AI-driven solutions. I have built AI pipelines involving data preprocessing, model training, and evaluation using tools such as NumPy, Pandas, scikit-learn, and YOLO. I am passionate about applying AI concepts to real-world problems and collaborating in cross-functional teams to deliver reliable, scalable systems.

MUHAMMAD EHTESHAM SIDDIQUI

I am a goal-driven and eager-to-learn Computer Science graduate with practical experience in Python, machine learning, and data analysis. I enjoy turning complex datasets into actionable insights and building AI-driven solutions. I have built AI pipelines involving data preprocessing, model training, and evaluation using tools such as NumPy, Pandas, scikit-learn, and YOLO. I am passionate about applying AI concepts to real-world problems and collaborating in cross-functional teams to deliver reliable, scalable systems.

Available to hire

I am a goal-driven and eager-to-learn Computer Science graduate with practical experience in Python, machine learning, and data analysis. I enjoy turning complex datasets into actionable insights and building AI-driven solutions.

I have built AI pipelines involving data preprocessing, model training, and evaluation using tools such as NumPy, Pandas, scikit-learn, and YOLO. I am passionate about applying AI concepts to real-world problems and collaborating in cross-functional teams to deliver reliable, scalable systems.

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Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate

Language

English
Fluent

Work Experience

IT Support Supervisor at Park Your Truck (Amazon Site)
October 1, 2025 - Present
Managed operational data within the yard management system (YMS), ensuring accuracy and structured data handling. Analysed workflow and allocation inefficiencies, proposing insight-based improvements to optimise resource utilisation. Worked with stakeholders to maintain reliable data processes, supporting consistent operations and decision making.
AI Engineering Intern at Leap Networks
November 1, 2025 - December 1, 2025
Contributed to the SRMS (Site Resource Management System), developing AI-derived safety workflows to detect hazards from site images and video data. Worked on image annotation and dataset creation, enabling model training to automatically identify safety risks and reduce manual inspection. Built and refined computer vision pipelines using YOLO, improving detection accuracy and reliability in real-world scenarios. Collaborated with engineers to enhance AI workflows for hazard detection, applying machine learning in practical, user-focused environments.

Education

BSc (Hons) Computer Science at University of Huddersfield
September 1, 2023 - April 9, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Education, Media & Entertainment