Implemented API endpoints for various features including web scraping, optimized search logic, and payment integration with Stripe and PayPal

Developed CRUD (Create, Read, Update, Delete) operations for managing data in multiple projectsIntegrated user authentication and authorization using Keycloak, ensuring secure access to resources

Collaborated with cross-functional teams to design and implement API endpoints that meet project requirementsConducted thorough testing and debugging to ensure the reliability and efficiency of the API endpoints

Documented API endpoints and provided support to other developers for integrating them into their projectsContinuously monitored and optimized API performance to enhance user experience

Designed and implemented a scalable microservices architecture using Node.js and Docker

Led a cross-functional team in developing microservices for improved system modularity and scalability

Implemented RESTful APIs and orchestrated microservices using Kubernetes for efficient deployment and management

Collaborated with teams to integrate microservices with existing systems, ensuring seamless communication and data flow

Developed procedures for collecting, processing, and analyzing metrics data from an inventory system using Python tools such as pandas, scipy, and numpy

Designed and implemented metrics reports to track inventory levels, turnover rates, and other key performance indicators (KPIs)

Collaborated with stakeholders to define requirements for the dashboard and ensure alignment with business goals

Implemented a dashboard on the main application for automated access to the metrics, providing stakeholders with real-time insights

Utilized pandas, scipy, and numpy for data manipulation, statistical analysis, and visualization in the dashboard development processConducted regular audits and performance reviews to validate the accuracy and reliability of the metrics and dashboard

as the overseer of the Bill of Materials (BOM) for industrial units in our inventory used in assembly lines or robotic systems for manufacturing, I analyzed the BOM data to gather insights on component costs, lead times, availability, and potential risks or dependencies. This involved organizing and examining the BOM within a SaaS Data Management Application.
By developing a model to analyze the BOM, I aimed to improve efficiency in managing the BOM and provide valuable information to our sales and consulting teams, enabling them to assist clients in solving manufacturing challenges effectively.

Developed a Data Content application for a non-profit organization using the Django framework.

Implemented features for managing and presenting data to support the organization's mission.

Deployed the application to ensure accessibility and reliability for users.

Continuously maintain and update the application to meet evolving needs and address any issues.

Collaborate with stakeholders to enhance the application's functionality and user experience

I contributed to the design, implementation, and deployment of the new data centre infrastructure as part of the implementation team, I also worked with cloud services like Azure, MS365 for the system custom domain and Googlecloud for backing-up our data as a contingent for our physical infrastructure.

Leveraged SPSS software, Panda library for Python in analysing loan based dataset for financing clients businesses.

• Developed a script that automates the weekly executive reports using notebook, PySpark , HTML5 and MySQL.

Engineered optimization of data collection procedures, improving the overall Data ingestion pipeline by 30%.

Collaborated with the tech team in Portugal for duration in the development cycle of the company’s platform, my focus area wason the front-end

Collaborated with a team of software engineers to design and develop web and mobile applications for both iOSand Android platforms

Created interactive e-learning content by transforming company employee training into an immersive and time-efficient digital format, complete with a multi-platform device layout and multiple-choice quizzes.

UI/UX; design of creative User’s interphase and experience of mobile Application and web.

Prototyping presentation for digital product

I actively collaborated with an analytical team to collect, organize, and analyze a survey dataset directly related to the 2016 Gubernatorial election in Ekiti state, Nigeria. Our objective was to understand the demographic composition of the state and how it influenced voting patterns during the election. Through the analysis of the survey data, we aimed to gain insights into the factors that affected voter behavior, such as age, gender, education level, and socio-economic status. This collaborative effort allowed us to draw meaningful conclusions about the relationship between demographics and voting patterns, contributing to a deeper understanding of the election dynamics in Ekiti state.