AJ Feucht
Orlando, FL *****
***********@*****.***
Analytics Power BI and Reporting Customer Skills
Education:
Florida State University. Graduation - May 2024
B.S. Management Information Systems
Minor in Business Analytics
Experience:
Internship OERCA LLC (Animal Welfare SaaS) May 2024 – Present May 2023 – August 2023
Assisted on the development of Power BI analytic reports and UI dashboards
Conducted beta testing for newly developed system features as well as browser nativity, achieving a more consistent user interface across operating systems
Built SQL queries to index and retrieve datasets in different reports based on client request
Collaborated with development team to optimize data processing through query optimizations and enhanced report performance, leading to reduced load space on servers
Store Associate/Tech Pinch-a-Penny Pool Patio Spa May 2021 – August 2023
Assisted customers with pool repairs and estimates
Conducted water tests to help customers maintain optimal pool chemicals and pH balance
Swim Instructor Rosen Aquatic Center October 2019 – March 2020
Maintained class attendance reports and course records
Provided a safe and fun learning environment for children and parents during instruction
Prepared and delivered skill-focused lessons and guidance based on the participants’ age and ability
Lifeguard Walt Disney World’s Contemporary Resort May 2018 – August 2019
Administered necessary first aid, rescued struggling swimmers coming off slides
Demonstrated exceptional customer service skills while engaging with Disney guests
Certifications/Skills:
Experience with MySQL, C++, Teradata, Tableau, SPSS modeler, data visualization, Paginated Reports
Proficient in Microsoft Power BI creating and maintaining user dashboards
Proficient in Adobe Photoshop
Achievements:
Deloitte’s Future of Work Institute credential
Member of Mortar Board Florida State chapter
Member of Association for Information Systems (AIS)
Boy Scouts of America Eagle Scout
Capstone Project involved recording 50,000 rows of real time Costco transaction data from UA database, applying it to a mock store project and mining that data using SPSS modeler, finding patterns and trends. This was then used to create a stakeholder dashboard for optimizing store revenue.