Abubakar Yagoub

Abubakar Yagoub has a diverse work experience in the field of data science and software engineering.

Abubakar worked as a Senior Data Scientist at Unique Computing LLC from May 2022 onwards. In this role, they were responsible for building end-to-end Machine Learning pipelines, including data acquisition, processing, model deployment, and monitoring. Abubakar also implemented best MLOps practices of Continuous Integration and Deployment (CI/CD) to deliver up-to-date models. Additionally, they used their skills to help the business retain customers by predicting possible customer turnover.

Prior to that, Abubakar worked as a Data Scientist at Unique Computing LLC from October 2021 to April 2022.

Before joining Unique Computing LLC, they were self-employed and worked as a Software Engineer from January 2018 to July 2021. During this time, they gained hands-on experience in data science, data analysis, project management, applications, and web development. Abubakar assisted clients in understanding data through data analysis and visualization and successfully completed various desktop and web applications with model API integration.

Overall, Abubakar's work experience demonstrates proficiency in both data science and software engineering, making him a valuable asset in developing and deploying machine learning solutions.

Abubakar Yagoub obtained a Bachelor's degree in Computer Science from the International Islamic University Malaysia. Additionally, they have completed several certifications, including "Build Basic Generative Adversarial Networks (GANs)" from Coursera, "Deep Learning with Pytorch: Zero to GANs" from Jovian, "Feature Engineering for NLP in Python," "Image Processing in Python," "Image Processing with Keras in Python," "Machine Learning Scientist with Python," "Machine Learning for Time Series Data in Python," "Machine Learning with PySpark," "Advanced Deep Learning with Keras," "Cluster Analysis in Python," "Deep Learning in Python," "Dimensionality Reduction in Python," "Extreme Gradient Boosting with XGBoost," "Linear Classifiers in Python," "Machine Learning with Tree-Based Models in Python," "Supervised Learning with scikit-learn," "Unsupervised Learning in Python," and "Cleaning Data in R" from DataCamp. The certifications were obtained between March 2020 and April 2021.