A Passionate Software Engineer with 4+ years of experience in developing web applications and backend systems. Skilled at writing clear, concise code that is easy to maintain and troubleshoot. Experienced in working with both small and large teams across multiple projects and companies. Able to work independently of remote locations or in office environments as needed by the company
Assisted in developing and maintaining dynamic websites using HTML, CSS, and JavaScript. Collaborated on front-end design improvements, resulting in a 15% increase in user engagement. Contributed to the implementation of responsive design, ensuring optimal user experience across devices
Conducted root cause analysis and resolved critical issues, reducing turnaround time by 20%. Developed real-time monitor reports and configuration tools, improving machine setup efficiency by 25%. Enhanced reporting system accuracy by 4% and wrote optimized scripts for data-heavy automation tasks.
Led automation of usage graphs, saving $500,000 annually, and improved data accuracy by 20% through governance initiatives. Migrated projects from Python 2 to 3.8.0 and developed reusable components, reducing development time by 50%. Optimized performance by 68% and contributed to a 5% increase in sales through UI improvements.
Graduated with Second Class Upper Division Honors. Acquired strong skills in statistical analysis, Python programming, and data management. Applied data-driven approaches to solve real-world problems through practical projects and research.
Preparing Data (Excel and Spreadsheets), Exploratory Data Analysis (Python, Excel, Pandas), Data visualization (Seaborn, Matplotlib, PowerBI/Tableau), Machine Learning (Regression, Classification), NLP and classification, AWS foundations.
Completed coursework covering C programming, Python, and web development using HTML, CSS, and JavaScript. Gained hands-on experience in backend development with Django and Flask, test-driven development, and web infrastructure. Developed proficiency in scripting, problem-solving, and collaboration, while acquiring full-stack development and DevOps skills essential for building scalable solutions.
Tech Used: Python, Javascript, Flask, HTML and CSS
Hospeed is a web application that provides real-time information on hospital traffic to help users make informed decisions about which hospital to visit. The app integrates hospital APIs to fetch traffic data, allowing users to see which hospitals are busy and which ones have fewer patients.
Tech Used: Python, Javascript, Flask, HTML and CSS
The system is addressed the challange of manual applications, which is tiresome and time consuming, This project was created to automate the process of bursary applicaton for student who can apply for bursary manually due to lack of resources, by just a click of a button they can apply.
Tech Used: NextJs, Tailwind CSS, Firebase
Innobid is a web application that uses AI to streamline procurement process, from the vendor selection to the contract negotiation and application, the Applicaton is designed to make the procurement process more efficient and transparent by ensuring the public can see the process and be able to report irregularities or corruption cases.