Mar 2026 – Present · 3 mos · Remote

Mar 2026 – Present · 3 mos

• Beginning a 6-month industrial training in the power plant division.
• Gaining hands-on exposure to mechanical systems, machinery operation, and industrial maintenance.
• Learning practical skills in system monitoring, troubleshooting, and safety protocols.
• Supporting process improvement initiatives and technical documentation under supervision.
• Enhancing understanding of large-scale mechanical operations in a high-performance industrial setting.

Jan 2026 – Present · 5 mos

Nov 2025 – Mar 2026 · 4 mos · Remote

• Working with diverse datasets to extract insights and support data-driven decisions.
• Identifying patterns and trends that inform strategic initiatives.
• Applying analytical and interpretation skills to real business scenarios.
• Collaborating with the team to translate data into clear, actionable outcomes.
• Strengthening my foundation in data analysis, problem-solving, and structured thinking.

Oct 2025 – Present · 8 mos · On-site

• Co-founded ILLIA, a cutting-edge trend intelligence platform leveraging real-time data across major social platforms to surface actionable insights for creators and brands.
• Spearheading the technical development of predictive analytics tools, building systems that identify rising trends with 87% accuracy across TikTok, YouTube, Instagram, X, Reddit, LinkedIn and more.
• Developing and continuously refining algorithms that predict viral content 6 to 12 hours before peak engagement, giving users a decisive competitive edge.
• Automating content strategy processes end-to-end, from trend detection to AI-generated content and scheduled publishing, enhancing scalability for users across every major social platform.

Oct 2025 – Mar 2026 · 5 mos · Remote

• • Awarded scholarship to complete a Data Science Professional Program, covering Python for Data Analysis, Machine Learning, and Statistics.

Oct 2025 – Mar 2026 · 5 mos · Remote

• Engaging in hands-on learning and practical projects focused on AI and machine learning applications.
• Collaborating with a multidisciplinary team to explore data-driven problem-solving approaches.
• Building a stronger foundation in model development, algorithm design, and applied data science techniques.

Oct 2025 – Jan 2026 · 3 mos

Jul 2025 – Sep 2025 · 2 mos · Ogun State, Nigeria · On-site

• Supported mechanical engineers in daily equipment inspections and preventive maintenance operations.
• Gained hands-on exposure to cement manufacturing processes and heavy-duty industrial systems.
• Developed technical skills in machine servicing, safety compliance, and fault diagnosis.
• Assisted in routine operations involving kilns, compressors, and conveyor systems.
• Built practical engineering experience in a high-performance industrial environment.

May 2025 – Nov 2025 · 6 mos · Remote

Mar 2025 – Jul 2025 · 4 mos · Remote · Remote

• Selected for a 4-week virtual Data Science internship at CodSoft, focusing on hands-on learning, skill development, and project execution. Responsibilities include completing assigned tasks, following instructions, and gaining practical experience in data science.

Mar 2025 – Jul 2025 · 4 mos · Remote

• Selected for a Data Science internship at Oasis Infobyte, focusing on hands-on learning, skill enhancement, and practical application of data science concepts. This internship provides exposure to real-world projects, enabling me to develop analytical skills, work with datasets, and apply machine learning techniques to solve business problems.

Mar 2025 – Mar 2025 · 0 mo · Covenant University, Canaanland, Km 10, Idiroko Road, P.M.B. 1023, Ota, Ogun State, Nigeria. · On-site

• Software Developer | LMS Specialist | Online Learning Solutions
• 🔹 Key Responsibilities:
• Developing and optimizing Learning Management System (LMS) modules to enhance online learning experiences.
• Building interactive features to improve student engagement and accessibility.
• Integrating third-party tools and APIs for seamless system functionality.
• Troubleshooting and refining system performance for a smoother user experience.
• 🔹 Major Projects & Achievements:
• Currently working on developing LMS modules to improve content delivery and user interaction.
• Enhancing LMS efficiency by optimizing backend performance and improving system scalability.
• Contributing to innovative solutions that enhance the online learning experience.

Sep 2024 – Oct 2024 · 1 mo · Remote

Aug 2024 – Oct 2024 · 2 mos · Remote

Jul 2024 – Mar 2025 · 8 mos · Nigeria

Jul 2024 – Sep 2024 · 2 mos · Nigeria · On-site

• During my Student Work Experience Program at Covenant University, I had the enriching opportunity to work within the Electrical and Information Engineering Department, despite my primary focus on mechanical engineering. This cross-disciplinary exposure has significantly broadened my technical skill set and practical knowledge.
• I was involved in several hands-on projects, including:
• Electrical Wiring Installation: Gained practical experience in setting up and managing electrical wiring systems, ensuring safety and efficiency.
• Solar 5 System Installation: Worked on the installation and integration of solar power systems, contributing to sustainable energy solutions.
• Electrical Fitting: Engaged in the precise and safe installation of electrical components, enhancing my understanding of electrical infrastructure.
• Networking: Developed skills in network setup and management, vital for modern interconnected systems.
• Elements of Programming: Enhanced my programming capabilities, which is crucial for both mechanical engineering and data science applications.
• This program not only provided me with valuable practical experience but also complemented my data science career aspirations by integrating technical skills from multiple engineering disciplines.

May 2024 – Sep 2024 · 4 mos · Remote

• As a Fellow at Savvy Fellowship, I participated in a comprehensive program that enhanced my analytical and entrepreneurial skills. This role involved working on projects where I applied data analysis to develop business strategies and solutions. I gained experience in data collection and analysis, leveraging tools like Excel and basic programming to interpret data trends and inform decision-making processes.
• Through collaboration with a diverse group of fellows, I enhanced my problem-solving skills and learned to present data-driven insights effectively. This fellowship provided me with a strong foundation in using data to drive business innovation and efficiency, preparing me for a successful career in data science.

May 2024 – May 2024 · 0 mo · Remote

• I participated in an AI hackathon, where I collaborated with a team to develop innovative solutions using artificial intelligence and machine learning techniques. My responsibilities included:
• Data Pre-processing: Collected, cleaned, and prepared large datasets for analysis.
• Model Development: Designed and implemented machine learning models to address specific problem statements.
• Collaboration: Worked closely with team members to brainstorm ideas, divide tasks, and integrate individual contributions into a cohesive project.
• Performance Evaluation: Assessed model accuracy and performance, and iteratively improved algorithms based on feedback.
• Presentation: Communicated findings and solutions effectively to judges and peers through detailed presentations and visualizations.
• This experience enhanced my technical skills in data science, teamwork, and project management, further preparing me for a successful career in the field.

Apr 2024 – Present · 2 yrs 2 mos · Nigeria