Abdur Rehman Nadeem
About Abdur Rehman Nadeem
Abdur Rehman Nadeem is a Machine Learning Engineer currently working at Crayon in Riyadh, Saudi Arabia, with a background in data science and software engineering from various companies including VentureDive, Jumia Group, and Daraz.
Current Role at Crayon
Abdur Rehman Nadeem currently serves as a Machine Learning Engineer at Crayon, where he has been employed since 2023. His role involves applying machine learning techniques to solve complex problems and enhance product offerings. The position is hybrid, allowing for a combination of remote and on-site work in Riyadh, Saudi Arabia.
Previous Experience at VentureDive
Prior to his current role, Nadeem worked at VentureDive in various capacities. He served as a Data Analyst from 2019 to 2020 and as a Software Engineer from 2018 to 2019. During his tenure, he contributed to improving search recall and diversity by 15% and conversion rates by 5.5% through the development of advanced models using semantic embeddings and convolutional neural networks.
Education and Expertise
Abdur Rehman Nadeem earned a Bachelor of Science in Computer Science from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, completing his studies from 2014 to 2018. He holds multiple certifications from Coursera, including Neural Networks and Deep Learning, Hyperparameter Tuning, and Structuring Machine Learning Projects, which enhance his expertise in machine learning.
Experience in Data Science and Machine Learning
Nadeem has extensive experience in data science and machine learning. He worked as a Data Scientist and ML Engineer at Jumia Group from 2022 to 2023, where he developed a real-time streaming facial recognition system. He also contributed to an e-commerce product knowledge graph and a continuous training pipeline for a BERT model during his time at i2c Inc. and Daraz.
Contributions to Kaggle and Stack Overflow
Abdur Rehman Nadeem participated as a Kaggle Competitor from 2019 to 2020, engaging in data science competitions to enhance his skills and knowledge. Additionally, he contributed to Stack Overflow from 2018 to 2020, where he shared insights and solutions within the programming community.