Connect and innovate with an elite information systems program
I created a clean, user-friendly website for Philly MUA to improve customer accessibility and streamline bookings. I designed a detailed services page, a categorized portfolio, and an integrated booking system to simplify the client experience. This project enhanced the artist’s online presence beyond Instagram. Through this process, I learned the importance of intuitive design and creating a seamless user journey.
Project URL:
Philly MUA Website Prototype
This project is a Figma Prototype for the Silver Oak Weddings Website, a website used to book weddings, engagements, and couple photography and videography shoots. I made edits to the website to include information about the team, frequently asked questions, and a reviews page, which added to their contact sheet and example photos. Adding these will give users more knowledge and comfort of who they are booking with. When starting off this project, I had a couple of my friends review the website and had them give me their positive and negative thoughts. Additionally, I reviewed other photographers’ websites to gain a better understanding of the usability and conceptual model. I learned a lot about what people interested in booking shoots prioritized and what is visually appealing.
Link to the Project Power Point: SOW MIS ProPoints Project
Link to the Prototype: SOWPrototype
This semester I had the privilege of taking the AWS Academy Cloud Foundations course and seeing it through to its completion. The course taught me many aspects of AWS and allowed me to dive deeper into concepts that I was previously unfamiliar with. I found this course to be exponentially helpful with my understanding of AWS and paired perfectly with the hands-on activities that I was performing weekly in my Cloud Architecture course (MIS 3406). I recommend this course to anyone looking to develop a strong foundational knowledge of AWS. This will definitely not be the last AWS academy course I take.
In my Data and Analytics course (2502), I completed a semester-end project analyzing a dataset of new car buyers. Guided by Professor Bauman, this project served as a comprehensive test of the knowledge I gained throughout the semester. I demonstrated my proficiency in Python, analyzing large datasets, and transforming insights into decision trees. These decision trees enabled me to identify key marketing strategies that could benefit a company.
A landing page for an imaginary landscaping business that contains a hyperlink to a calculator for the business’s services in order to receive a quote.
Website Redesign and Prototype Development: Yale School of Art
The objective of this project was to select a company and enhance its digital presence through a redesigned or newly created website. The focus was on improving user experience by identifying and addressing specific user needs, emphasizing usability, functionality, and aesthetic appeal. This work was completed as part of the MIS3506 course, which emphasizes user-centric design principles.
For this project, I chose the Yale School of Art website, a critical resource for prospective students, current students, faculty, alumni, and art enthusiasts. While the existing website provides valuable information, it suffers from outdated design, unintuitive navigation, and difficulty locating key content. These challenges underscored the need for a redesign to enhance usability, accessibility, and overall user experience.
I conducted a comprehensive requirement analysis to understand the primary users and their goals:
The redesigned website needed to feature intuitive navigation, dynamic galleries for artwork, responsive design for accessibility, and tools for event updates and secure portals. Additionally, the site had to maintain the artistic identity of the school while integrating modern usability features.
To guide the design process, I developed a persona named Emma Carter:
Using Figma, I developed a high-fidelity prototype for the redesigned website. The prototype reflects a modern, clean aesthetic aligned with the school’s artistic brand. Key features include:
This project provided valuable hands-on experience in user experience design and prototyping. I gained skills in:
This project reflects my ability to integrate creativity and analytical thinking to deliver visually compelling and functional digital solutions. It also demonstrates my proficiency in applying user-centric design principles to real-world scenarios.
Link to my prototype website: https://www.figma.com/proto/4DlI5Vgdf4bXPTuxXa5Oug/Untitled?node-id=1-2&node-type=frame&t=It6jbWBpAqvMVSQh-0&scaling=min-zoom&content-scaling=fixed&page-id=0%3A1
Using a decision tree algorithm, I examined a group of used automobiles and forecasted their asking prices based on brand, model, age, mileage, fuel type, and transmission type. To improve the model’s performance, I determined the best value for the minimum split, determined the nodes with the highest and lowest probabilities, and described how they relate to the dataset’s attributes. To demonstrate the decision tree’s value for pricing analysis, I also used it to predict the outcomes of a few sample data points. I completed all the work in Python using a Jupyter Notebook.
The goal of this project was to use decision tree algorithms to analyze data on student’s academic and professional qualifications and predict job placement outcomes. The dataset included features such as secondary school percentage, degree percentage, MBA percentage, and employment test scores. This project helped me improve my skills in data preprocessing, decision tree analysis, and model optimization using tools like Python, scikit-learn, and pandas. This also provided me with valuable insights into applying data analysis techniques to real-world problems.
For this project I had to create a decision tree diagram with python that can be used to predict the likelihood of a person having diabetes depending on various health variables such as age, smoking history, presence of heart disease, and BMI. I used this decision tree to determine which types of patients have the most and least likelihood of diabetes, as well as forecasting the likelihood of diabetes in specific scenarios.
During this project I analyzed a dataset related to car purchases using a decision tree model. The goal of my project is to predict whether a user will purchase a car based on financial and age features. My dataset contains 5 columns including UserID, Gender, Age, AnnualSalery, and Purchased. I was able to train my decision tree model to get 90% of validation accuracy and 90.14% training accuracy.
Fox School of Business
Temple University
210 Speakman Hall
1810 N. 13th Street
Philadelphia, PA 19122
