Hello, I'm
Crafting Intelligent Solutions for Production: Olamide (David) Oluwamusiwa Portfolio
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About Me
I am Olamide (David) Oluwamusiwa, a dedicated full-stack software engineer with a passion for AI and data science. I excel in programming and AI techniques, with experience in building web development projects, machine learning, and software development. Additionally, I have expertise in integrating AI into my software and web projects, aiming to create intelligent systems that solve real-world problems. With my interdisciplinary background, I aspire to push the boundaries of technology and shape a future where intelligent machines enhance the human experience.
- Programming: Proficient in various programming languages, including but not limited to Python, JavaScript, C#, and C++.
- AI Techniques: Skilled in applying artificial intelligence techniques, including machine learning, natural language processing (NLP), computer vision, and deep learning.
- Web Development: Experienced in building web development projects using HTML, CSS, JavaScript, and frameworks such as React, tailwindCSS for the front end, and Next.js, Django, Flask for the back end.
- Software Development: Competent in software development methodologies, design patterns, algorithms, data structures, and version control using Git.
- Integration of AI: Expertise in integrating AI techniques and models into software and web projects effectively.
- Machine Learning: Proficient in data analysis, statistical modeling, data visualization, and manipulation using libraries and frameworks such as pandas, NumPy, TensorFlow, Matplotlib, and seaborn.
- Problem-Solving: Strong problem-solving skills, capable of analyzing complex problems and devising effective solutions using programming, AI, and data science techniques.
- Interdisciplinary Background: Possessing an interdisciplinary background that allows you to bridge gaps between different domains effectively.
- Communication: Strong communication skills to collaborate with team members, explain technical concepts to non-technical stakeholders, and document work effectively.
- Continuous Learning: Willingness to stay updated with the latest trends, technologies, and best practices in AI, data science, Machine Learning web development, and software engineering.
My Projects
HarmoniFi - AI Powered Music APP
HarmoniFi is a music recommendation web app powered by Flask for backend development and Next.js for the frontend. Flask handles routing, API endpoints, and recommendation logic, while Next.js renders UI components using React. The recommendation system utilizes scikit-learn for machine learning tasks. The app emphasizes seamless integration between backend and frontend, delivering a smooth user experience without the need for a database.
Cat vs Dog Image Classification using CNN
This project utilizes TensorFlow and Keras for transfer learning to classify images of cats and dogs. Skills used; TensorFlow, Keras, Transfer Learning, Image Data Preprocessing, Model Evaluation, Model Deployment, and File Handling.
E-commerce Application
A visual stunning landing page featuring a responsive layout, popup modal functionality, dropdown navbar, dark and light mode options, scroll-triggered animations, fully responsive hero section, modern product cards, and a responsive footer, showcasing skills in React, Tailwind CSS, and Vercel.
Music Recommendation Sytem using Deep Learning
Using Pandas, NLTK, and sklearn, a song recommendation model was built to analyze Spotify data, featuring data preprocessing, TF-IDF vectorization, cosine similarity calculations, and a recommendation function, with results saved using pickle.
Churn Prediction Model
A churn prediction model built in Python using Pandas, NumPy, and scikit-learn. Data preprocessing, resampling for class imbalance, and model training with Logistic Regression, SVM, Naive Bayes, XGBoost, and LightGBM were implemented. Hyperparameter tuning was done with GridSearchCV. The model achieved an accuracy of 84.14% and an ROC AUC score of 91.57% on test data.
De-Fi App using React and TailwindCSS
This project showcases a De-Fi (Decentralized Finance) app landing page built with React and TailwindCSS, deployed on Vercel.
Portfolio Website using Nextjs and TailwindCSS
This portfolio website utilizes Next.js, advanced Tailwind CSS, React, React Icons, and TypeScript to deliver a modern, responsive, visually captivating user experience, and Vercel for Deployment to production.
A UNIX Command Interpreter using C Programming
A UNIX command interpreter crafted for ALX's low-level programming track. It executes commands from files or standard input, featuring variable replacement and operator handling. With built-in commands like cd and exit, it offers a seamless interactive experience for executing UNIX commands effectively.
Let's Connect
I'm currently looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!
