Muhammed Yusuf Hamarat

Spearheaded full product development lifecycle, from initial idea validation and user research to successful launch, defining the core experience of Vialess.

Drove user-centric product decisions by implementing continuous testing, data analysis, and customer feedback loops, ensuring optimal user satisfaction and product market fit.

Oversaw comprehensive UX/UI direction, collaborating closely with engineering teams to deliver fast, scalable, and intuitive product experiences.

Contributed to company growth by shaping product strategy, managing cross-functional development processes, and introducing new features that significantly strengthened user engagement and retention.

Directed team communication and coordinated effectively with stakeholders, ensuring alignment and efficient project execution across development cycles.

Developed robust web scraping and automated data processing solutions using Python, BeautifulSoup, and Selenium, significantly improving data acquisition efficiency.

Engineered processes to extract, format, and deliver structured data, enhancing data quality and accessibility for various applications.

Delivered comprehensive data scraping services, successfully extracting and organizing data from various websites based on specific client requests.

Automated data extraction and cleaning processes using Python, reducing manual effort and increasing efficiency in data preparation.

Transformed raw data into structured Excel and JSON formats, ensuring high data quality and readiness for client analysis and integration.

Designed the full UI and UX for a university-focused ride-sharing application, enhancing usability and visual appeal for the target student demographic.

Collaborated effectively with the development team to refine features and ensure smooth user journeys, translating design concepts into functional product experiences.

Automated market research workflows using Python, significantly reducing manual operations and improving process efficiency.

Supported data entry and quantitative analysis utilizing SPSS, contributing to the accuracy and reliability of research findings.

Assisted in the interpretation of complex research data and the preparation of comprehensive reports, translating insights into actionable recommendations.