Responsibilities include:

• Research: Machine Learning Techniques for Adaptive Ransomware Intrusion Detection.
• Designing and implementing novel machine learning algorithms capable of rapidly identifying and mitigating emerging and evolving ransomware attacks.
• Publishing in reputable journals to share insights with the broader research community.
• Presenting the research findings at top-tier machine learning and cybersecurity conferences.
• Collaborating with industry partners to transfer the developed technology into practical security solutions that protect end-users from ransomware attacks.

Responsibilities include:

• Proposed a research project on leveraging Large Language Models (LLMs) to identify psychological vulnerabilities cybercriminals exploit in phishing emails.
• Awarded the SFI-NSF Student Mobility Research Grant worth €4,065.50 to support the research.
• Collaborated with a multidisciplinary team of experts across fields such as artificial intelligence, cybersecurity, human-computer interaction, and psychology.
• Co-authored a research paper submitted for publication in a reputable peer-reviewed journal.
• Presented my research findings on ransomware detection using machine learning to the lab.

Responsibilities include:

• Developed a novel AI system for detecting fraudulent Bitcoin transactions at scale.
• Submitted a patent application on Bitcoin payment transaction detection and fraud prevention technology, currently pending approval.
• Managed project tasks and workflows effectively within an agile framework using Jira.
• Facilitated transparent communication and knowledge sharing across the team through Confluence.

Responsibilities include:

• Developed and delivered online lessons on AI, Data Science and Mathematics to multi-cultural and multi-ethnic groups from Africa and other minority Ethnic Communities in Scotland following the COVID-19 pandemic.
• Conducted exploratory data analysis to identify patterns, trends, and insights, generating descriptive statistics and visualizations using Excel, Python (Pandas, Matplotlib), R, Tableau, and Power BI.
• Built predictive models using machine learning techniques in Python and R to forecast future trends.
• Summarized findings in clear, actionable reports and presented insights to management and executives.

Responsibilities include:

• Analysed data and provided insights using analytical tools such as Python, SQL, R, Tableau and SPSS.
• Developed business solutions for clients using advanced analytics.
• Tested developed software for functional and non-functional performance.

Research Area(s): Machine Learning, Cyber Security (Malware Detection), FinTech.

• Developed machine learning models for malware detection and classification.
• Presented research findings through poster presentations, publications and academic talks.
• Awarded MSc in Financial Technology (FinTech) with Distinction.

Research Area(s): Quantitative Risk Analytics, Big Data Analytics, Machine Learning, Financial Modelling.

• Developed a novel Value-at-Risk Measurement Incorporating Sentiments from Financial Tweets for Risk Analysis of Nigerian Banks.
• Delivered presentations in conferences, workshops and meet-ups, as a way of communicating my findings.
• Championed the establishment of a multi-disciplinary research team developing innovative solutions to African challenges with the help of Mathematics, Artificial Intelligence and Data Science.
• Published two research papers in reputable international journals.
• Awarded MSc in Financial Mathematics (Research Masters).

Responsibilities include (done part-time):

• Analysed both qualitative and quantitative data using R, Python, SPSS, MS Excel, and EViews.
• Organised training in data analytics, conducting tests and developing client technical reports.
• Translated research findings into remarkable insights, decisions and actions.

Responsibilities include:

• Lecturing the Blockchain Application Development module.
• Supervising MSc and BSc student’s thesis in Artificial Intelligence and Blockchain Technology.
• Developing comprehensive assessments that effectively evaluate students’ understanding of complex AI and Blockchain concepts.
• Grading assignments and exams promptly, providing detailed and constructive feedback to help students identify areas for improvement.
• Collaborating with the department to continuously update course content and materials to align with the latest advancements in AI, ML and Blockchain.
• Organising and facilitating interactive workshops and tutorials to reinforce key concepts and encourage hands-on learning.

Responsibilities include:

• Teaching assistant for several modules including, Advanced Machined Learning, Databases, Data Analytics, Operating Systems, Ethical Hacking, and Malware Analysis.
• Guiding students with hands-on implementation of complex concepts.
• Grading students’ performance accurately and fairly.
• Delivering constructive and insightful feedback to support their learning and academic growth.

Responsibilities include:

• Delivered planned lessons with student-centred pedagogy in line with curriculum objectives.
• Developed excellent verbal and written communication skills as a teacher, interacting with colleagues, young students and their parents.
• Conducted a free Mathematics tutorial for SSS 3 students preparing for WASSCE.
• Organised learning resources and materials in line with curriculum objectives.

Responsibilities include:

• Providing mentorship to young scientists on academic and professional excellence.
• Developing and delivering hands-on training programs in data science and artificial intelligence.
• Offering guidance and resources on successfully obtaining scholarships and research grants.
• Facilitating career development sessions including leadership and communication skills.

Responsibilities include:

• Managed a cohort of 76 Commonwealth scholars and fellows from diverse international backgrounds across 5 UK universities.
• Cultivated a vibrant, collaborative network by facilitating regular social and professional development opportunities for scholars.
• Organised a series of enriching events and activities that helped the scholars make the most of their time in the UK, including cultural excursions, academic workshops, and career coaching sessions.
• Collaborated closely with other regional coordinators and university representatives to ensure a seamless and rewarding experience for the scholars.

Responsibilities include:

• Represented the interests and perspectives of Mathematics PhD and MSc scholars at high-level meetings with the African Union Commission and PAUSTI directorate.
• Created an effective collaborative environment that fostered meaningful connections and knowledge-sharing between scholars, industry partners, and academic institutions.

Responsibilities include:

• Led a team of over 40 fellow NYSC members from diverse ethnic and educational backgrounds.
• Demonstrated strong interpersonal skills and fostered a collaborative, team-oriented spirit.
• Organized and executed numerous impactful community initiatives, including:
  • Medical outreach programs to provide free healthcare services.
  • Visits and donations to local orphanages.
  • Awareness campaigns on important social and health issues.
• Awarded the Best Performing Unit NYSC President, Abraka, Delta State.