Adedeji Oyindamola

 ADEDEJI OYINDAMOLA JOEL EDUCATION QUALIFICATION Federal University Oye-Ekiti, Oye, Nigeria. Sep. 2019 – Sep. 2024 B.Sc in Computer Science| Second Class Honors (Lower). Final Year Thesis: “Enhancing Methods On Detecting Card Fraud Using Machine Learning”(Supervised by Dr. Lawrence Adewole). RESEARCH INTEREST Artifical intelligence & Machine learning: Fraud detection is challenging due to evolving fraud patterns and data imbalance. AI-driven machine learning methods enhance detection by identifying anomalies in transaction behavior. These enhanced models improve accuracy, reduce false positives, and adapt to new fraud techniques. AI-driven Algorithms for Cloud Auto-scaling: AI-driven auto-scaling leverages predictive intelligence to adjust resources before demand spikes. I want to explore reinforcement learning and anomaly detection approaches in this context. The aim is to achieve high efficiency without sacrificing system resilience. Cybersecurity: Cybersecurity protects cloud and edge systems from threats and ensures reliability. AI-driven models, including anomaly detection, strengthen resilience by enabling real-time threat prediction and response. Software Engineering For Ai: Software engineering for AI focuses on building reliable and scalable systems that support intelligent applications. It combines traditional development with AI-specific needs like efficient data handling and optimized algorithms. In my final year project, I worked on enhancing methods to make AI solutions more effective. RESEARCH EXPERIENCE Undergraduate Research Thesis, Enhancing Methods On Detecting Card Fraud Using Machine Learning, a Federal University Oye-Ekiti Computer Lab dumpsite Case Study. Supervisor: Dr Adewole L.B. Nov. 2023- Aug. 2024 • Artificial intelligence and machine learning: AI and machine learning analyze past transaction data to detect unusual patterns and flag potential fraud for further review. • Data analytics Data analytics uses advanced tools to analyze large volumes of transaction data in real time to detect irregularities, trends, and patterns indicating potential fraud. • Real-time Monitoring: Real-time monitoring continuously tracks transactions and sends instant alerts to quickly identify and address suspicious activity. • Behavioral and Pattern Biometrics: Behavioral biometrics verifies cardholder identity by analyzing user behavior patterns and detecting anomalies to prevent fraud and unauthorized access. • Secure Payment Technologies: Secure payment technologies like encryption and tokenization protect cardholder data during transactions, making it difficult for fraudsters to steal or misuse. WORK EXPERIENCE IT SUPPORT SPECIALIST, FEDERAL POLYTECHNIC ADO-EKITI,EKITI STATE NIGERIA (FEDPOLYADO) April. 2022 – September.2022 • Worked on troubleshooting of systems,opening a system to find out the main issue and make sure it get fixed and fully repaired • Worked on refilling of printers ink and ensure it is well filled and also used a blower to blow the dirts out of the printer • Also worked on the setting up of a projector for every class thst takes place in the computer science laboratory • I worked on the installation of a new windows on a system and ensure it was properly installed Data Collection, FEDERAL POLYTECHNIC ADO-EKITI,EKITI STATE NIGERIA.(FEDPOLYADO) April. 2022 – September. 2022 • I make use of Microsoft Excel to keep students records. I ensured the data in and out of the department I made they all inputted into the files using excel Assistant system administrator,Coperate Affairs Commission FCT(CAC),ABUJA July 1st 2025 – till date • Assisting in monitoring system performance and reporting any anomalies • I troubleshoot and repaired spoilt and underperforming systems • Installation of a new system,setting up the network and also installing the necessary applications for the staff in use • Setting up of a new printer and ensuring the right driver for the printer is installed LEADERSHIP EXPERIENCE Group Lead, IGBAYILOLA NURSERY/PRIMARY SCHOOL ADO-EKITI, KITI STATE 2010 Started leading from primary school by laying down good examples which them make me the labour prefect and health prefect making the environment neat an ensuring the laboratory is always neat and taken care of. Represented the student body on several occasions. Group Lead- I led my group in a computer lab practical, where we researched AI projects focused on the application of electricity. VOLUNTEERING Say No to Drugs & Cultism 2020 – 2023  Participated in the planning of the student union's "Say no to drugs” seminars for freshmen every year at Federal University Oye-Ekiti campus and its surroundings in Oye, Nigeria. • I participated in the planning of the "Say No to Drugs" and “Say No To Cultism” seminar at the Faculty of Science Hall of Residence. Rural Awareness and Environmental Sanitation 2019 - 2020 • Took part in the Ekiti State government's environmental healthcare initiatives and programs in two towns. AWARDS • Certificate by New Horizons July2018 Awarded a certificate of completion in adobe photoshop CS6 by NEW HORIZONS computer learning center in july 2018 after successfully completing the course • ADOBE CERTIFICATION ACHIEVEMENT June 13,2018 I am certified as an Adobe Certified Associate(ACA) in visual communication using Adobe Photoshop CS6, awarded by adobe on june 13,2018. • Certificate of Excellence in Computer Science, FUOYE – Recognition for academic performance and project work in AI and optimization Certificate of Excellence in Computer Science, FUOYE – Recognition for academic performance and project work in AI and optimization DIGITAL SKILLS  AI | Html | Researching|Adobe photoshop|Microsoft Office |. AREAS: Machine Learning,Data Analytics CONFERENCE/ SEMINAR ATTENDED Tech Seminars; UI/UX design conference in EKSU, a peek into the future. Department of Computer Science, EKITI STATE UNIVERSITY, ADO-EKITI, Ekiti state. September 2022