I am a data scientist/data analyst with experience in a variety of fields. My technical skills include A/B Testing, Algorithms, Bayesian Inference, Cluster Analysis, Data Analytics, Data Modeling, Data Visualization, Data Wrangling, Exploratory Data Analysis, Forecasting, Github, Gradient Boosting, Jupyter, K-Means Clustering, K-Nearest Neighbors, Linear Regression, Logistic Regression, Machine Learning, Matplotlib, MySQL, Natural Language Processing, NumPy, Pandas, Predictive Modeling, Probability, Python, Random Forest, Scikit-Learn, Seaborn, Supervised Learning, Tableau, TensorFlow, Time Series Analysis, and Unsupervised Learning.I am a recent graduate of an intensive course in data science, machine learning, Python, and SQL through the Springboard Data Science Career Track. I enjoy using data visualization tools to look for patterns in large datasets and implementing machine learning algorithms to make data-driven recommendations for real-world problems.I have a diploma in international trade which I used at an internship with the United States Department of Commerce. In this position I was responsible for drafting articles used to advise US companies in various industries on the state of the Canadian economy. I also did the preliminary editing of a new training manual to be implemented for independent contractors hired by the department. I also have extensive experience in customer service and as a warehouse associate. In a past position I was responsible for managing a team of temporary workers on a regular basis to process shipments and redesign the limited storage space for customer orders. I needed to work rapidly to ensure products were provided to customers on a timely basis.When I'm not expanding my knowledge of coding languages I'm either in the kitchen, practicing my French, or exploring my new city(Montreal).Don't hesitate to get in touch if you would like to learn more about me or how I can help your organization make better data-driven decisions using machine learning!