Kameron Bains Email & Phone Number

Experienced in object oriented development in Python, Java and C#. This includes developing several machine learning models in python from scratch in an object oriented design like AHC, Logistic regression and KNN machine learning algorithms.Developed several machine learning models to predict blood sugar level in a patient. Developed CNN models to identify different types of insects (Ants, Bees and Wasps) and handwritten character recognition.Proficient in using BeautifulSoup and Selenium to scrape data from websitesExperienced in functional programming in python when using pyspark to develop data pipelines.Used Java and JavaFX to develop software, in an object oriented development, for a project that allowed final year students to select which modules they can take for their final year of study. This project was developed in a MVC architecture.Experienced in making responsive websites in HTML, CSS and JavaScript with and without bootstrap and or React.js.Experienced in full stack web development using Node.js with the express.js or Python with the Django framework to develop a website backend that can connect to either SQL database or MongoDB and utilize EJS or Django Templates as a templating engine on the front endDeveloped machine learning models on SAS enterprise minor to predict if a customer at a local store will or will not buy organic food and assigned to identify types of customersDeveloped a machine learning models that is able to predict credit card fraud on very imbalanced datasets in R. This also leads to me submitting a research paper about this topic in the ‘International Conference on Innovation and Intelligence for Informatics, Computing and Technologies’.Experience in source control using GitHub & GIT.Key SkillsProgramming LanguagesPython, R, Matlab, Java, C# , Scala, SQL, JavascriptMachine LearningSupervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors and Support Vector Machines (SVM)Unsupervised Learning: K-Means and Agglomerative Hierarchical Clustering (AHC)Deep Learning: Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN)PackagesNumPy, Pandas, Matplotlib, Scikit-learn, PyTorch, ggplot2Big DataHadoop and SparkDatabasesSQL databases & MongoDB