Stephanie Church
Creative, detail-oriented, software engineer with a deep interest in AI. Proven track record of creating and implementing successful front and back end web applications. Looking to bring my skills to a tech company with global reach.
Work Experiences
Software Engineer
Delivered tailored digital solutions for Skin Addicts Esthetics and Marin Tech, collaborating closely with small business owners to enhance their online presence and operational efficiency.Ensured cross-platform compatibility for both businesses' websites, resulting in a consistent and intuitive user experience across desktop, tablet, and mobile devices.
- Skin Addicts Esthetics online presence by developing a visually appealing and user-friendly website, resulting in a 20% increase in online traffic and a 15% growth in appointment bookings within the first quarter of launch.
- Implemented UI/UX improvements for Marin Tech's website, leading to a 25% decrease in bounce rates and a 30% increase in user engagement
Software Developer
Collaborated with a team of developers to build modern and responsive web applications using best practices Built semantically structured full stack web applications Applied agile methodologies like SCRUM for project management
Incident Operations Intern
Created full stack web applications and static websites for different clients across small and medium size businesses. Also, consulted on SEO and social media strategy. Some clients included:
IT Support
Focused on providing exceptional service that exceeds user expectations. Motivated self-starter with strong interpersonal skills, a desire to learn and expand technical proficiencies, and the ability to work within a collaborative, team-oriented environment. Working knowledge of Microsoft Office applications, G Suite, Blackboard, PeopleSoft, web pages.
Instructor
Educated students of alll ages in the art of web development, equipping them with essential skills to thrive in the digital age. Leveraged my in-depth knowledge of HTML, CSS, and JavaScript to guide students through interactive workshops focused on building dynamic web pages.
Projects
Wine Quality Prediction
Developed a machine learning model in Python to predict wine quality based on chemical properties, achieving high accuracy and contributing to the understanding of wine qhality factors.
Car Inventory Application
Collaborated on a team to create a car inventory application using Java, React, and JavaScript, with features such as adding cars, updating details, and real-time filtering, enhancing usability and functionality.
E-Wallet App
Led the development of an e-wallet application using Java, implementing a user-friendly interface for convenient and secure mobile payments.