Ahmad Hayyan

Key Skills

Software

Roboflow

Scale AI

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Bounding Box

Classification

Data Collection

Text Generation

Freelancer Overview

As a dedicated data science with a strong passion for football and a proven track record in data analysis, I specialize in data labeling and AI training for sports analytics and beyond. My expertise lies in annotating complex datasets with precision and consistency, ensuring high-quality inputs for machine learning models. I bring deep knowledge of football player performance metrics, tactical data annotation, and creating advanced visualizations, including xG, xGOT, shot locations, and player positions. My ability to interpret and label nuanced sports data makes me a valuable asset for AI projects that require domain-specific expertise. In addition to my sports analytics focus, I have experience with multilingual data labeling, including Arabic language evaluation for large language models (LLMs). My skills in working with event data, shot data, and constructing databases for SQL-based analysis highlight my technical competence. Coupled with a strong foundation in programming, design, and art, I bring a unique combination of creativity and analytical precision to every project.

Labeling Experience

Football Pitch Detection Specialist

RoboflowImageBounding BoxPolygon

I worked on a data labeling project focused on detecting football pitches in sports imagery using Roboflow. My responsibilities included creating precise bounding boxes, polygons, and segmentation masks to define the pitch boundaries accurately. The project aimed to enhance object detection models by providing high-quality labeled data for football pitch recognition. I adhered to strict quality assurance processes to ensure consistency and reliability, contributing to the development of cutting-edge AI solutions in sports analytics and computer vision.

I worked on a data labeling project focused on detecting football pitches in sports imagery using Roboflow. My responsibilities included creating precise bounding boxes, polygons, and segmentation masks to define the pitch boundaries accurately. The project aimed to enhance object detection models by providing high-quality labeled data for football pitch recognition. I adhered to strict quality assurance processes to ensure consistency and reliability, contributing to the development of cutting-edge AI solutions in sports analytics and computer vision.

2023

Player, Ball, and Referee Annotation Specialist

RoboflowComputer Code ProgrammingBounding BoxPolygon

I worked on a data labeling project using Roboflow, focusing on annotating players, balls, and referees in football match imagery. My primary tasks included creating precise bounding boxes, polygons, and key points to accurately identify and track these entities. The project emphasized high-quality annotations for object detection and tracking models, with a strong focus on consistency and accuracy. By adhering to strict quality control measures, I ensured the labeled data met the highest standards, contributing to the development of advanced AI systems in sports analytics.

I worked on a data labeling project using Roboflow, focusing on annotating players, balls, and referees in football match imagery. My primary tasks included creating precise bounding boxes, polygons, and key points to accurately identify and track these entities. The project emphasized high-quality annotations for object detection and tracking models, with a strong focus on consistency and accuracy. By adhering to strict quality control measures, I ensured the labeled data met the highest standards, contributing to the development of advanced AI systems in sports analytics.

2024 - 2024

Education

Work History