Usman Dankoly

Usman Dankoly

Machine Learning and AI Developer Journey at LSET

Congratulations,Usman Dankoly, on securing workshadowing with Cintra as aMachine Learning and AI Developer! This is a significant achievement as only selected student Attain this. Well done!

Introduction

Meet Usman Dankoly, a skilled Machine Learning and AI Developer who has used his education and work experience at Clintra to become proficient in creating and applying machine learning solutions. His time at the London School of Emerging Technology (LSET) and hands-on practice show his dedication to mastering practical skills in the field. Usman’s focus on building effective machine learning models highlights his commitment to achieving high standards in technology.

Education and Training

Usman Dankoly is currently workshadowing at Clintra, focusing on Machine Learning and AI development. His studies at  London School of Emerging Technology (LSET) have given him a thorough grasp of key ideas like supervised and unsupervised learning, neural networks, and model assessment methods. Usman has practical experience with tools such as TensorFlow, Keras, and scikit-learn. His work involves creating predictive models, improving algorithms, and applying machine learning solutions to real-world problems. This experience prepares him to tackle complex issues and make meaningful contributions to advanced AI projects.

Key Skills and Technologies

Throughout his work shadowing at Clintra and training at LSET, Usman Dankoly has developed proficiency in a broad range of tools and technologies essential for Machine Learning and AI development:

Machine Learning Algorithms

Expertise in algorithms such as linear regression, decision trees, and clustering techniques for model development and data analysis.

Deep Learning

Deep Learning Frameworks

Proficient in TensorFlow and Keras for constructing and training neural networks, facilitating advanced pattern recognition and predictive analytics.

Data Preprocessing

Data Preprocessing

Skilled in using Pandas and NumPy for data cleaning, transformation, and manipulation to prepare datasets for model training.

Model Evaluation and Optimisation

Model Evaluation and Optimisation

Experienced in evaluating model performance with metrics like accuracy, precision, recall, and F1-score, and applying techniques such as hyperparameter tuning.

Automated Machine Learning (AutoML)

Automated Machine Learning (AutoML)

Knowledgeable in using AutoML tools to streamline model selection and tuning processes, enhancing efficiency and performance.

Integration and Deployment

Integration and Deployment

Familiar with integrating machine learning models into applications using REST APIs and deploying them in production environments.

Data Visualisation

Data Visualisation

Utilises Matplotlib and Seaborn for visualising data trends and model outputs, aiding in data-driven decision-making.

databease management

Big Data Technologies

Experienced with Hadoop and Spark for handling and processing large-scale datasets, ensuring scalability and performance.

version control

Version Control

Proficient in using Git for managing code and collaborating on machine learning projects.

Cloud Computing

Cloud Computing

Skilled in leveraging cloud platforms like AWS and Google Cloud for scalable model deployment and computational resources.

Certificate

Certifications

To further validate her expertise, Usman Dankoly has earned several certifications, including:
Brochure certificate simple
Brochure certificate Silver
Brochure certificate Gold
Usman Dankoly

Usman Dankoly’s studies at London School of Emerging Technology and work experience at Clintra have given him a strong step ahead  in Machine Learning and AI development. His dedication to learning and hands-on practice with advanced tools and methods have readied him for success in this fast-growing field. Usman skilfully applies machine learning models and AI techniques to solve real-world problems, helping create innovative solutions and push technology forward.

For more information or to connect with Usman Dankoly, visit her LinkedIn profile

The views expressed in this document are those of the author and do not necessarily reflect the position of the London School of Emerging Technology. View the detailed policy Disclaimer for Student and Personal Websites

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