Joseph Oghenekevwe Onome

Labeled and sorted large amounts of image data to help train machine learning models. Outlined objects within images so computer vision could accurately recognize them.

Developed concise investment reports from deep research on several early-stage crypto projects. Evaluated prospective investments by conducting detailed and comprehensive reviews.

Participated in various tasks given to member analysts. Taught members how to use fundamental analysis in investing in the financial market.

Conducted equity research on the oil, health, and energy sectors. Developed broad-based knowledge to carry out comprehensive research reports.

Completed the Universal AI Program with coursework in data analytics, machine learning, neural networks, deep learning, and generative AI.

Completed a Data Science program covering data collection, wrangling, preprocessing, exploratory analysis, visualization, hypothesis testing, and machine learning.

Completed a Data Science Bootcamp and AI & Machine Learning course covering data science frameworks, supervised learning, data analysis, visualization, and neural networks.

Grade: Second Class Division

Earned a Bachelor of Science in Banking and Finance with Second Class Division, including coursework in financial accounting, macroeconomics, banking methods, and quantitative methods.