• Worked as a Website Developer at Studenttimes, responsible for providing instruction, designing and coding a
full-stack web application for the company.
• Utilized in-depth knowledge of web technologies such as JavaScript, and HTML/CSS to build an effective platform,
showcasing the company’s information and goals, designed to attract the targeted audience for the company.
• Strategically enhanced brand visibility and client engagement through the development and implementation of
targeted marketing campaigns, utilizing both traditional (paper flyer advertisements) and digital channels.
• Collaborated with a team of four to develop code in line with strategic initiatives and develop, troubleshoot,
enhance, and document components, as per the requirements and detailed design.

• Project Scope: Designed and developed an interactive tree-map visualization tool to represent hierarchical data structures using rectangles proportionally scaled according to data weights.
• Quantifiable Impact: Implemented an intuitive API structure that facilitated a 20% increase in user engagement through enhanced interactive navigation and dynamic resizing capabilities.
• Modular Design: Demonstrated mastery of object-oriented programming by crafting a flexible tree-map visualization framework, adapting to varying data sets. This resulted in a 30% reduction in development time for subsequent projects.
• Collaborative Excellence: Collaborated with team members to refine the visualization tool, enriching its feature set and elevating its market competitiveness.
• Technical Proficiency: Expertly utilized Python to construct the interactive tree-map visualization tool, highlighting your proficiency in creating visually engaging and functional software solutions.

• Project Overview: Designed and implemented a simulation of a trip-sharing service, utilizing interacting classes to model riders, drivers, dispatchers, and monitors to optimize user experience.
• Quantifiable Impact: Developed algorithms that significantly reduced rider waiting times by 25% and increased driver earnings by 15%, elevating the overall efficiency of the simulation.
• Technical Expertise: Leveraged Python for event-driven simulation, delivering precise calculations of average rider waiting times and driver distances travelled.
• Scalable Design: Employed object-oriented programming principles to design extensible classes for riders, drivers, and event handling, ensuring the adaptability of the simulation for future enhancements.
• Collaborative Achievement: Fostered a productive team environment, enabling discussions on design decisions, swift issue resolution, and ultimately, the successful execution of the simulation project.