Audience Analyst at COOP Careers - Data Analytics Fellowship

Engaged in a 16-week apprenticeship program, acquiring expertise in data cleaning, transformation, analysis, and visualization using SQL, Python, and Tableau. Cleaned, restructured, and grouped raw ad performance data to surface audience behavior patterns and campaign effectiveness, identifying high-cost, low-conversion segments for optimization. Developed three data-driven audience personas using behavioral trends and performance metrics (CPA, CTR, CVR, CPC), and external research to inform targeting strategy and improve ad efficiency.

Web Developer at Next Level Society

Redesign NLS’s website to improve accessibility and user experience, migrating from Google Sites to WordPress. Collaborating with stakeholders to implement UI/UX best practices, ensuring a functional and visually engaging platform. Enhancing the digital presence of a nonprofit that provides arts education and career pathways for underrepresented youth in Chatham, Englewood, Roseland, and Garfield Park.

Externship at Noble Career Office

Gained a deeper understanding of corporate operations and the Software Development Life Cycle (SDLC) through mentorship and hands-on activities. Participated in professional development workshops, including resume reviews and networking opportunities, tailored to Microsoft’s hiring process.

Front-End Engineer at University of Michigan (Instagram Clone)

Developed an Instagram clone with React and Flask, combining client-side and server-side functionality for real-time, interactive experiences. Integrated a Flask backend in Python to handle server requests, database operations, and efficient client-server communication. Managed client-server communication and state synchronization to ensure fast, reliable user interactions and data consistency.

Back-End Engineer at University of Michigan (Scalable Search Engine)

Collaborated in a team to develop a scalable search engine designed to handle large-scale data through efficient crawling, indexing, and ranking algorithms. Implemented key features such as PageRank, tf-idf ranking to improve search accuracy and efficiency, reflecting complexities of real-world search engines.

Front-End Engineer at University of Michigan

Instagram clone development with React and Flask, combining client-side and server-side functionality for real-time, interactive experiences. Integrated a Flask backend in Python to handle server requests, database operations, and efficient client-server communication. Managed client-server communication and state synchronization to ensure fast, reliable user interactions and data consistency.

Back-End Engineer at University of Michigan

Scalable search engine project with efficient crawling, indexing, and ranking algorithms. Implemented PageRank, query processing, and tf-idf ranking to improve search accuracy and efficiency.

Externship at Microsoft

Gained understanding of corporate operations and the Software Development Life Cycle (SDLC) through mentorship and hands-on activities. Participated in professional development workshops, including resume reviews and networking opportunities, tailored to Microsoft’s hiring process.