Ibukun O.

Software Developer with 9+ years of professional experience in developing full-stack web, mobile application as well as micro/data services. Technically strong in JavaScript and Python. Have used web frameworks such as Next, React, Node(Express), Django, Flask, FastAPI and Laravel for the web and Python frameworks such as Scikit, pandas, numpy, openCV, etc., for data manipulation, analysis, visualization and machine learning. Held software development positions, alongside teaching, guidance and instruction, consulting, administration and departmental leadership responsibilities over the years with series of wonderful and many-a-times, unexpected testimonies. Having audited an MSc. Data Science/AI course from a top-rated university in the UK, I currently hold a Diploma in Architecture, a Bachelor of Technology in Information Technology and a handful of other related certificates and badges. You are sure in the right place: if you need a single, responsive landing page or full stack website with customizable dashboard components such as charts, filters, tables and sorting algorithms, If you intend to attract and engage your audience with professional website user interface controls and patterns as well as targeted and measurable web and social contents, Consult me for: Responsive Website application SEO/SEM integration and monitoring Cross platform apps Payment API Integration e.g Paypal, Stripe, etc Authentication and Authorization with OAuth, JWT or custom credentials Test Driven Development, CI/CD Deployments in and Web Hosting AWS, GCP or Azure, Vercel Database Development Management (SQL or No-SQL like MongoDB or GraphQL) Standard performance front-end with ReactJS and NextJS Standard performance back-end with PHP (Laravel), NodeJS (Express), Python (Django or Flask) or serverless with Google Firebase, AWS AppSync/Amplify Professional Styling with Bootstrap, Tailwind, Material UI, SASS/SCSS, etc. web scraping solutions, Business Intelligence and data visualization and engineering, Data science, Big Data and Artificial Intelligence (AI) solutions including but not limited to: Preprocessing Machine Learning ML Deep Learning DL Natural Language Processing (NLP) classification regression reinforced learning predictions or detections sentiment or emotion detection. supervised and unsupervised learning Frameworks and algorithms such as OpenCV Scikit numpy pandas matplotlib seaborn also, Database relationships and SQL querying Feature Engineering in form of Principal Component Analysis PCA Gaussian Mixture Models Evaluation of performance (validation) Extreme Value Analysis Spurious Data vs Outliers Clustering (k-means, k-median and k-medoids, Hierarchical clustering and Agglomerative clustering) Apriori DBSCAN Linear and logistic regression Naïve Bayes Decision trees Neural networks: e.g. CNN, ANN, RNN, LSTM, BERT, transformers and attention, autoencoders, self-organising maps, Generative Adversarial networks (GANs) Backpropagation Thanks.