- Examined the error rates of neural networks, and applied distributional tests in an attempt to classify the changes in the network.- Applied transformations to the error points of the network, identifying how manipulation of the errors impacts any assumptions imposed on said errors.- Simulated multiple different datasets with both "real" and "faulty" observations, observing network behavior and optimization procedures.

- Welcomed and engaged with customers, inquiring about their needs, and offering solutions.- Completed cashier and transactional purchases, order dates, and delivery dates as needed.- Stocked shelves and organized goods sold, maintaining cleanliness of department and aisles.- Familiarized with corporate policies and procedures, and maintained a safe working environment in day-to-day operations.- Managed multiple customers during busy periods; made contact so no customer was left unattended in assistance requests.- Memorized promotional materials, credit options and membership deals, confirming that customers would always have the best deal offered for their technical solutions.

- Consulted with clients, establishing how key methods and applications could support business endeavors to build proper rapport.- Launched cloud-base and local databases for both SQL and NoSQL types (MySQL, Cloudant), allowing for clients to have scalable and easily accessible data metrics on demand (analytics and loading done with Python).- Conducted statistical studies focusing on product quality and customer satisfaction through the use of inferential and predictive modeling, assisting in the development of a client's finished good (ANOVA modeling) and identifying the most likely customer to purchase said good (Random Forest and Neural Networks).- Formatted and drew visualizations using dashboards (Tableau) and storyboards to simplify analytical findings and illustrate customer profile, ensuring client has proper understanding of statistical results and can produce data-driven decisions.