Samuel Frank Ayodeji

Solved combinatorial optimization problems using Quantum Annealing; Performed "Conspicuity Detection in Production" organized by Fraunhofer ITWM using Penny Lane, involving embeddings, hybrid models, QNNs, and quantum kernels.

Conducted Exploratory Data Analysis (EDA) and built machine learning models; Co-presented and led the training of a “Pneumonia Detection Model” using chest X-ray images, which earned recognition as the premier project, ranking 1st out of 20 groups.

Data Cleaning and Preparation Conducted Exploratory Data Analysis (EDA) Data presentations and reporting with Power BI Conducted sentiment analysis of a retail store's customer reviews.

Conducted literature reviews, proofreading, and preparation of project reports attached to Partnership for Economic Policy, International Development Research Centre, and AERC; Assisting in the preparation of research proposals for grant applications; Gathered data information on climate & environment for UNDP; Aids in preparing consulting reports on foreign and indigenous-owned corporations in Africa, Latin America, and the Caribbean for WTG.

Carried out credible field work for research works; Performed data preparation, statistical, and econometrics analysis; Makes input in article writing and editing as assigned; Aided in data preparation and visuals for a grant awarded by the Royal Society of Engineering, United Kingdom, in 2022, to study the Circular Economy of Metal Scraps in South-West Nigeria.