Osayanhu Imoisili is a graduate of Mathematics and Computer Science from Covenant University.
He has honed his expertise through rigorous coursework on the use of AWS in machine learning along with text mining, data visualisations and social media mining.
Osayanhu Imoisili is a distinguished graduate of Mathematics and Computer Science from Covenant University. With a robust foundation in data science, machine learning and web development, Osayanhu has cultivated a versatile skill set through a combination of formal education and targeted professional training. He has honed his expertise through rigorous coursework on platforms such as Udacity, where he learned the use of AWS in machine learning, and Coursera, where he delved into text mining, data visualisations and social media mining.
Osayanhu's technical proficiency is further evidenced by his successful completion of various Hackerrank examinations, achieving commendable results in SQL, software engineering, and Python. His diverse training and qualifications underscore his ability to navigate complex technical challenges and deliver innovative solutions. With a commitment to continuous learning and professional development, Osayanhu remains at the forefront of technological advancements, poised to contribute significantly to any data-driven or software engineering endeavour.
A web Application built to handle leave applicataions, STOP card submissions and internal requests.
Developed an efficient e-filing web application streamlining document management and submission processes, enhancing user experience and administrative efficiency.
Made a model that predicts the survival rate of a cancer patient based on the interactions between the genes affected by the p53 protein
Proficient in crafting clean, semantic HTML for building responsive, user-friendly websites. Skilled in creating structured web content and optimising HTML for SEO. Expertise in integrating HTML with CSS and JavaScript for dynamic web applications.
Expert in leveraging data science to uncover actionable insights and drive data-driven decision-making. Proficient in statistical analysis, data visualisation, and predictive modelling. Transform complex data into strategic assets.
Skilled in Python programming for developing robust, efficient solutions. Extensive experience in scripting, web development, and data manipulation. Utilise Python libraries such as Tensorflow, Django and Pytorch.
Specialised in designing and implementing machine learning models. Proficient in supervised and unsupervised learning techniques. Expertise in using TensorFlow, Scikit-learn, and Keras for advanced predictive analytics and AI solutions.
Possesses high proficiency in SQL database creation and administration, adept at designing robust schemas, writing complex queries, optimising performance, and ensuring data integrity and security.
B.Sc. Industrial Mathematics and Computer Science
Machine Learning Engineer Intern
Software Engineer
Freelance Data Scientist
Supply Chain Analyst