Caleb Caffey

CALEB J. CAFFEY Manchester, PA 17345 (720)--SUMMARY: Motivated, organized, and creative individual looking to apply my skills in the technology field. Known for a positive demeanor with others and a knack for problem solving. TECHNICAL SKILLS: Microsoft suite/Windows operating systems Experience with Microsoft SQL Server/Management tools, Oracle, and Access C# in Visual Studio Web development (Adobe Dreamweaver, website builders, etc.) Adobe Photoshop and Gimp Building computers/hardware knowledge Networking Technology EDUCATION: HACC-Central Pennsylvania Community College (York Campus,) York, PA Dec. 2019 Associate in Computer Information Systems Degree in Database Analysis Denver School of Science and Technology, Denver Colorado. GED 2016. EMPLOYMENT HISTORY GES Automation Technology Inc. - Harrisburg, PA March 2020 – August 2020 Sales Associate Customer service – The primary focus was creating quotes/estimates for a growing customer base with many automation needs. Understanding the electrical/mechanical/technical industry and time estimates for such work was essential. Excellent communication within the company via email, phone, and text. Phone-skills for reaching out to vendors and customers. Additionally, organizing and conducting meetings with customers on a regular basis. A base-level understanding of electrical drawings. Critical thinking/problem solving skills. Giant - York, PA August 2016 – February 2020 Deli Associate Customer service - Communicating and understanding customer requests, proficiency in speaking over the phone, and maintaining a polite demeanor. Critical thinking/problem solving skills. Ensuring that health code requirements are met in a timely fashion. Rutter’s - York, PA February 2015 – August 2016 Deli Associate Customer service - Reviewing and completing orders, multitasking, and time management. Training of new employees. Ensuring that health code requirements are met in a timely fashion. Reporting/solving problems. RELATED PROJECTS: Database Analyst Capstone Project My project was to create an application that utilized a database in order to make analytics for a game developer. In this project I created a database in Microsoft SQL Server Management Studio. An application was made in Microsoft Visual Studio to display a variety of analytics through visuals using the game database. Additionally, a User Guide, Technical Reference, and Disaster Recovery Guide were created for the project. Here is a link to a website portfolio of the project. Data Mining Project My project for data mining was used to examine statistics of the YouTube trending page. The goal was to see if there was evidence that YouTube hand picks videos for trending, or if it is entirely done by the algorithm. With the use of XLminer, an extension of Excel, I performed a variety of data mining techniques on a sample set of data from the YouTube trending page. Classification rules, k-means, and naïve Bayes algorithms suggested that YouTube’s algorithm handles the entirety of the trending page. There was no evidence YouTube hand-picks videos.