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Aderola Owaduge

Shaping ideas into reality, one line of code at a time

Mission

Mission

I aspire to be a full stack developer who seamlessly blends creativity with technology. With a passion for photography and the arts, I strive to bring artistic expression into a field that leans more practical, crafting intuitive and visually engaging digital experiences.

Skills

Python

Python – I’ve used Flask for web development and worked with pandas, NumPy, and matplotlib for data analysis. Through my Machine Learning for Natural Language Processing course, I gained experience using PyTorch to train classifiers and analyze text data.

C++

C++ – I’ve used C++ extensively for implementing data structures and algorithms, including hash maps, binary search trees, and AVL trees. My coursework has reinforced my understanding of algorithmic efficiency, memory management, and testing.

Javascript

JavaScript (React) – I’ve used React for front-end development, focusing on building interactive and dynamic user interfaces. My experience includes working with components, state management, and integrating APIs for enhanced functionality.

SQL

SQL – I’ve used SQL to query and manage relational databases, working with structured data for both web applications and machine learning projects. My experience includes using SQL with Flask to store and retrieve data efficiently.

Projects

Destination Discovery Prototype

As my final project for the Web Development Track of the Global Career Accelerator program, I developed a prototype for a vacation destination recommendation feature, designed to help users explore new locations based on their interests. The project was inspired by the Marriott Homes and Villas case study provided by Publicis Sapient and challenged me to apply frontend development skills, conduct user research, and think through product management concepts.

Through this project, I focused on creating a more exploration-friendly user experience, helping users discover destinations with clearer guidance and personalized recommendations.

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