◆Research in machine learning under the guidance of a post-doctoral scholar.◆Learned and gained insights into the mechanics and applications of supervised machine learning algorithms: Linear Regression, Logistic Regression, K Nearest Neighbors, Random Forest, and Support Vector Machines. Additionally became adept in the Python libraries SciKit-Learn and Pandas.◆Applied knowledge of machine learning Python programs to analyze, train, and predict data relating to housing prices.◆Currently building a novel approach to stuttering treatment by analyzing speech patterns to understand how changing context, sentence structure, and specific phonemes can improve speech confidence.

◆Led the automation of data workflows in the dissolutions department (Analytical R&D).◆Built a Python program that parsed through PDFs and extracted key data information in CSV format to then be analyzed in dissolution apparatus.◆Presented my work to 300+ AbbVie scientists and management personnel at the end-of-summer intern cohort meeting.◆Cleaned and organized multiple lab spaces within AbbVie facilities. Reorganized all drawers and shelves and relabeled all designated areas.

◆Independently purchased shoes, clothes, collectibles, and other commodities. Resold these items on 3rd party marketplaces (StockX, GOAT, eBay, Facebook) and locally around the community.◆Generated over $30,000 in profit from $150,000 in cumulative sales.

◆Founded a community of 50 sneaker bot (software that automates and scales online purchasing) resellers, attaining over $50,000 in cumulated profits.◆Prospected and paid 5 staff members knowledgeable in the sneaker bot market.◆Ran twitter marketing account with 1,200 followers at the peak of operation: https://twitter.com/ArcFNF