Steven Addison Email & Phone Number

New York, United States

• Full-time, remote, 15-week intensive spanning a myriad of professional Data Science subjects• Areas of focus included, but were not limited to:• Data Analysis and Engineering: Python, variables, booleans, conditionals, lists, dictionaries, looping, functions, data structures, data cleaning, Pandas, NumPy, Matplotlib/Seaborn for data visualization, Git/GitHub, SQL, accessing data through APIs, web scraping• Scientific Computing and Quantitative Methods: Combinatorics, probability theory, statistical distributions, Bayes' theorem, sampling methods, hypothesis testing, A/B testing, linear regression, model evaluation• Machine Learning Fundamentals: Linear algebra, logistic regression, maximum likelihood estimation, optimization cost function, pipeline building, hyperparameter tuning, grid search, scikit-learn, gradient descent, k-nearest neighbors (KNN), decision trees, ensemble methods• Advanced Machine Learning: Dimensionality reduction, clustering, time series analysis, neural networks, big data, natural language processing (NLP), text vectorization, Natural Language Toolkit (NLTK), regular expressions, word2vec, text classification, recommendation systems

Seattle, Washington

-Managed development of new product -Traveled to trade shows to acquire new customers -Implemented client’s ideas into fully realized designs -Established and maintained timelines needed to facilitate proper creative turnaround-Owned relationships with boutique customers as primary sales contact -Revitalized and streamlined SKU management system

-Supported the Buyer in product selection -Established and maintained vendor relationships-Maintained communication with vendors before, during and post event-Assisted in negotiating buying terms with vendors -Reported data pertaining to relevant needs of the business-Grew menswear portfolio sales 100% year over year-Skyrocketed small vendor’s business to 2100% growth year over year -Increased vendor presence through creative collaboration with Boutique Team -Participated in cross-functioning groups like the Trend Team

Seattle, Washington

Data Science

Sociology